GNB publications

Publications

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Papers in publications included in the ISI Journal Citation Reports, Frontiers and LNCS: (indexed in Current Contents, Pubmed and/or INSPEC)

B. Berbel, R. Latorre, P. Varona. 2024. Emergence of sequential dynamical invariants in central pattern generators from auto-organized constraints in their sequence time intervals. Neurocomputing 578: 127378.
P. Rodríguez-Belenguer, J.L. Piñana, M. Sánchez-Montañés, E. Soria-Olivas, M. Martínez-Sober, A.J. Serrano-López. 2024. A machine learning approach to identify groups of patients with hematological malignant disorders. Computer Methods and Programs in Biomedicine, 246, 108011.
Z. Shu, R.A. Carrasco, M. Sánchez-Montañés, J.P. García-Miguel. 2024. A Multi-Criteria Decision Support Model for Restaurant Selection Based on Users' Demand Level: The Case of Dianping.com. Information Processing & Management, 61(3), 103650.
M. Reyes-Sanchez, R. Amaducci, P. Sanchez-Martin, I. Elices, F.B. Rodriguez, P. Varona. 2023. Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons. Neural Networks 164: 464-475.
M.I. Rabinovich, C. Bick, P. Varona. 2023. Beyond neurons and spikes: cognon, the hierarchical dynamical unit of thought. Cognitive Neurodynamics doi: 10.1007/s11571-023-09987-3.
H. Liz, J. Huertas-Tato, M. Sánchez-Montañés, J. Del Ser, D. Camacho. 2023. Deep learning for understanding multilabel imbalanced Chest X-ray datasets. Future Generation Computer Systems 144: 291-306.
A. Lareo, P. Varona, F.B. Rodriguez. 2022. Modeling the Sequential Pattern Variability of the Electromotor Command System of Pulse Electric Fish. Frontiers in Neuroinformatics 16:912654.
C.S. Hernández, A. Gil, I. Casares, J. Poderoso, A. Wehse, S.R. Dave, D. Lim, M. Sánchez-Montañés, E. Lage. 2022. Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data. Journal of Optometry 15, Suppl 1: S22-S31.
Z. Shu, R.A. Carrasco, J.P. García-Miguel, M. Sánchez-Montañés 2022. Multiple Scenarios of Quality of Life Index Using Fuzzy Linguistic Quantifiers: The Case of 85 Countries in Numbeo. Mathematics 10(12):2091.
L. Monje, R. A. Carrasco, C. Rosado, M. Sánchez-Montañés. 2022. Deep Learning XAI for Bus Passenger Forecasting: A Use Case in Spain" Mathematics 10(9): 1428.
C. Garcia-Saura, E. Serrano, F.B. Rodriguez, P. Varona. 2021. Intrinsic and environmental factors modulating autonomous robotic search under high uncertainty. Scientific Reports 11: 24509.
A. Garrido-Peña, I. Elices, P. Varona. 2021. Characterization of interval variability in the sequential activity of a central pattern generator model. Neurocomputing 461: 667-678.
P. Varona, M.I. Rabinovich. 2021. Binding brain dynamics building up heteroclinic networks. Physics of Life Reviews 36:33-34.
M.I. Rabinovich, P. Varona. 2021. Nonlinear dynamics of creative thinking. Multimodal processes and the interaction of heteroclinic structures. Physics-Uspekhi 64: 801-814.
H. Liz, M. Sánchez-Montañés, A. Tagarro, S. Domínguez-Rodríguez, R. Dagan, D. Camacho. 2021. Ensembles of Convolutional Neural Network models for pediatric pneumonia diagnosis. Future Generation Computer Systems 122: 220-233.
J.J. Torres, F. Baroni, R. Latorre, P. Varona. 2020. Temporal discrimination from the interaction between dynamic synapses and intrinsic subthreshold oscillations. Neurocomputing 417: 543-557.
S. Jimenez, L. Rotger, C. Aguirre, A. Muñoz, S. Granados, J. Tornero. 2020. Prefiltering based on experimental paradigm for analysis of fMRI complex brain network. PLoS ONE 15(10): e0238994.
M.I. Rabinovich, M.A. Zaks, P. Varona. 2020. Sequential dynamics of complex networks in mind: Consciousness and creativity. Physics Reports 883: 1-32.
M. Reyes-Sanchez, R. Amaducci, I. Elices, F.B. Rodriguez, P. Varona. 2020. Automatic adaptation of model neurons and connections to build hybrid circuits with living networks. Neuroinformatics 18: 377–393.
V. Changoluisa, P. Varona. F.B. Rodriguez. 2020. A Low-Cost Computational Method for Characterizing Event-Related Potentials for BCI Applications and Beyond. IEEE Access 8: 111089-111101.
M. Sánchez-Montañés, P. Rodríguez-Belenguer, A.J. Serrano-López, E. Soria-Olivas, Y. Alakhdar-Mohmara. 2020. Machine Learning for Mortality Analysis in Patients with COVID-19. Int. J. Environ. Res. Public Health 17, 8386.
J.L. Torrecilla, C. Ramos-Carreño, M. Sánchez-Montañéss, A. Suárez. 2020. Optimal classification of Gaussian processes in homo- and heteroscedastic settings. Statistics and Computing 30: 1091-1111.
I. Elices, R. Levi, D. Arroyo, F.B. Rodriguez, P. Varona. 2019. Robust dynamical invariants in sequential neural activity. Scientific Reports 9: 9048.
G Sarasa, A Granados, F.B. Rodriguez. 2019. Algorithmic clustering based on string compression to extract P300 structure in EEG signals. Computer Methods and Programs in Biomedicine:176:225-235.
R. Amaducci, M. Reyes-Sanchez, I. Elices, F.B. Rodriguez, P. Varona. 2019. RTHybrid: A Standardized and Open-Source Real-Time Software Model Library for Experimental Neuroscience. Frontiers in Neuroinformatics 13:11.
P. Varona. 2019. High and low dimensionality in neuroscience and artificial intelligence. Physics of Life Reviews 29: 106-107.
R. Latorre, P. Varona, M.I. Rabinovich. 2019. Rhythmic control of oscillatory sequential dynamics in heteroclinic motifs. Neurocomputing 331: 108-120.
M.I. Rabinovich, P. Varona. 2018. Discrete sequential information coding: heteroclinic cognitive dynamics. Frontiers in Computational Neuroscience 12:73.
J.L. Carrillo-Medina, R. Latorre. 2018. Detection of Activation Sequences in Spiking-Bursting Neurons by means of the Recognition of Intraburst Neural Signatures. Scientific reports, 8(1), 16726.
A. Montero, R. Huerta, F.B. Rodriguez. 2018. Stimulus space complexity determines the ratio of specialist and generalist neurons during pattern recognition. Journal of the Franklin Institute 355(5): 2951-2977.

M.I. Rabinovich, P. Varona. 2017. Consciousness as Sequential Dynamics, Robustness, and Mental Disorders. JAMA Psychiatry, 74(8): 771-772.
I. Elices, P. Varona. 2017. Asymmetry Factors Shaping Regular and Irregular Bursting Rhythms in Central Pattern Generators. Frontiers in Computational Neuroscience 11:9.
M. González, D. Dominguez, A. Sánchez, F.B Rodríguez. 2017. Increase attractor capacity using an ensembled neural network. Expert Systems with Applications 71: 206-215.
R. Latorre, J. Suarez. 2017. Measuring social networks when forming information system project teams. Journal of Systems and Software 134: 304-323.
V. Gayoso Martinez, L. Hernandez Encinas, A. Martin Munoz, M. Alvarez Marino, D. Arroyo Guardeno. 2017. A comparative study of three Spanish eGoverment smart cards. Logic Journal of the IGPL 25(1): 42-53.
D. Arroyo, F. Hernandez, A.B. Orue. 2017. Cryptanalysis of a Classical Chaos-Based Cryptosystem with Some Quantum Cryptography Features. International Journal of Bifurcation and Chaos 27(1): 1750004.
C Aguirre, G Franzese, F Esposito, L. Vázquez, R. Caro-Carretero, R. Vilela-Mendes, M. Ramírez-Nicolás, F. Cozzolino, C.I. Popa. 2017. Signal-adapted tomography as a tool for dust devil detection. Aeolian Research 29: 12-22.
P. Varona, M.I. Rabinovich. 2016. Hierarchical dynamics of informational patterns and decision-making. Proceedings of the Royal Society of London B: Biological Sciences 283 (1832): 20160475.
R. Latorre, J.J. Torres, P. Varona. 2016. Interplay between subthreshold oscillations and depressing synapses in single neurons. PLoS ONE 11(1): e0145830.
A. Lareo, C.G, Forlim, R.D. Pinto, P. Varona, F.B. Rodriguez. 2016. Temporal Code-Driven Stimulation: Definition and Application to Electric Fish Signaling. Frontiers in Neuroinformatics 10: 41.
J.L. Carrillo-Medina, R. Latorre. Implementing Signature Neural Networks with Spiking Neurons. 2016. Frontiers in Computational Neuroscience 20: 132.
M.I. Rabinovich, A.N. Simmons, P. Varona. 2015. Dynamical bridge between brain and mind. Trends in Cognitive Sciences 19(8): 453–461.
I. Elices, P. Varona. 2015. Closed-loop control of a minimal central pattern generator network. Neurocomputing 170: 55-62.
A. Granados, K. Koroutchev, F. B. Rodriguez. 2015. Discovering Data Set Nature through Algorithmic Clustering Based on String Compression. Knowledge and Data Engineering, IEEE Transactions on 27(3): 699-711.
M.I. Rabinovich, I. Tristan, P. Varona. 2015. Hierarchical nonlinear dynamics of human attention. Neuroscience and Biobehavioral Reviews 55: 18–35.
A. Montero, R. Huerta, F. B. Rodriguez. 2015. Regulation of specialists and generalists by neural variability improves pattern recognition performance. Neurocomputing 151: 69-77.
J.L. Carrillo-Medina, R. Latorre. 2015. Neural dynamics based on the recognition of neural fingerprints. Frontiers in Computational Neuroscience 9: 33.
F. Herrero-Carrón, D.J. Yáñez, Francisco de Borja Rodríguez, Pablo Varona. 2015. An active, inverse temperature modulation strategy for single sensor odorant classification. Sensors and Actuators B: Chemical 206: 555-563.
D. Rozado, T. Moreno, J. San Agustin, F. B. Rodriguez, P. Varona. 2015. Human–Computer Interaction 30(1): 34-63.
C. Garcia-Forlim, R.D. Pinto, P. Varona, F.B. Rodríguez. 2015. Delay-dependent response in weakly electric fish under closed-loop pulse stimulation. PLoS ONE 10(10): e0141007.
F. Doria, R. Erichsen Jr., M. Gonzalez, F.B. Rodriguez, A. Sanchez, D. Dominguez. 2015. Structured patterns retrieval using a metric attractor network: Application to fingerprint recognition. Physica A-Statistical Mechanics and its Applications 457: 424-436.
M.P. Velasco, D. Usero, S. Jimenez, C. Aguirre, L. Vazquez. 2015. Mathematics and Mars Exploration. Pure and Applied Geophysics 172 (1): 33-47.
M.I. Rabinovich, P. Varona, I. Tristan, V.S. Afraimovich. 2014. Chunking dynamics: heteroclinics in mind. Frontiers in Computational Neuroscience 8: 22.
C. Aguirre, R.V. Mendes. 2014. Signal recognition and adapted filtering by non-commutative tomography. IET Signal Processing 8(1): 67.
D. Arroyo, G. Alvarez. 2014. Application of Gray codes to the study of the theory of symbolic dynamics of unimodal maps, Communications in Nonlinear Science and Numerical Simulation 19(7): 2345-2353.
J. Díaz, D. Arroyo, F.B. Rodríguez. 2014. New X.509-based mechanisms for fair anonymity management. Computers & Security 46: 111-125.
J. Díaz, D. Arroyo, F.B. Rodríguez. 2014. On securing online registration protocols: Formal verification of a new proposal. Knowledge-Based Systems 59: 149-158. 2014.
J. Díaz, D. Arroyo, F.B. Rodríguez. 2014. A formal methodology for integral security design and verification of network protocols. Journal of Systems and Software 89: 87-98.
R.Latorre. 2014. A successful application of a Test-Driven Development strategy in the industrial environment. Empirical Software Engineering 19(3): 753-773.
R. Latorre. 2014. Effects of developer experience on learning and applying Unit Test-Driven Development. IEEE Transactions on Software Engineering 40(4): 381-395.
M. Gonzalez, D. Dominguez, F.B. Rodriguez, A. Sanchez. 2014. Retrieval of Noisy Fingerprint Patterns Using Metric Attractor Networks. International Journal of Neural Systems 24(7): 1450025.
R. Latorre, C. Aguirre, M.I. Rabinovich, P. Varona. 2013. Transient dynamics and rhythm coordination of inferior olive spatio-temporal patterns. Frontiers in Neural Circuits 7: 138.
L. A. González-Díaz, E. D. Gutiérrez, P. Varona, and J. L. Cabrera. 2013. Winnerless competition in coupled Lotka-Volterra maps. Physical Review E 88: 012709.
E. Serrano, T. Nowotny, R. Levi, B.H. Smith, R. Huerta. 2013. Gain Control Network Conditions in Early Sensory Coding. PLoS Computational Biology 9(7): e1003133.
D. Arroyo, P. Chamorro, J.M. Amigó, F.B. Rodríguez, P. Varona. 2013. Event detection, multimodality and non-stationarity: Ordinal patterns, a tool to rule them all? The European Physical Journal Special Topics 222(2): 457-472.
A. Granados, R. Martinez, D. Camacho, F.B. Rodriguez. 2013. Improving NCD Accuracy by Combining Document Segmentation and Document Distortion. Knowledge and Information Systems. DOI 10.1007/s10115-013-0664-4.
M.I. Rabinovich, I. Tristan, P. Varona. 2013. Neural Dynamics of Attentional Cross-Modality Control. PLoS ONE 8(5): e64406.
D. Arroyo, R. Latorre, P. Varona, F.B. Rodríguez. 2013. Application of symbolic dynamics to characterize coordinated activity in the context of biological neural networks. Journal of the Franklin Institute. DOI 10.1016/j.jfranklin.2013.03.018.
M.J. García-Martínez, N. Denisenko, D. Soto, D. Arroyo, A.B. Orue, V. Fernandez. 2013. High-speed free-space quantum key distribution system for urban daylight applications. Applied Optics. Vol. 52, Issue 14, pp. 3311-3317.
F.B. Rodriguez, R. Huerta, M.d.L. Aylwin. 2013. Neural Sensitivity to Odorants in Deprived and Normal Olfactory Bulbs. PLoS ONE 8(4): e60745.
J. Fernandez-Vargas, H.U. Pfaff, F.B. Rodriguez, P. Varona. 2013. Assisted closed-loop optimization of SSVEP-BCI efficiency. Frontiers in Neural Circuits 7:27.
R. Latorre, R. Levi, P. Varona. 2013. Transformation of Context-dependent Sensory Dynamics into Motor Behavior. PLoS Computational Biology 9(2): e1002908.
D. Arroyo, J. Diaz, F.B. Rodriguez 2013. Cryptanalysis of a one round chaos-based Substitution Permutation Network. Signal Processing 93(5):1358-1364.
B. Lizarbe, A. Benitez, M. Sanchez-Montanes, L.F. Lago-Fernandez, M.L.Garcia-Martin ML, P. Lopez-Larrubia, S. Cerdan. 2013. Imaging hypothalamic activity using diffusion weighted magnetic resonance imaging in the mouse and human brain. Neuroimage 64: 448-57.
P. Chamorro, C. Muniz, R. Levi, D. Arroyo. F.B. Rodriguez, P. Varona. 2012. Generalization of the dynamic clamp concept in neurophysiology and behavior. PLoS ONE 7(7): e40887.
D. Dominguez, M. Gonzalez, F. B Rodriguez, E. Serrano, R. Erichsen, W.K. Theumann. 2012. Structured information in sparse-code metric neural networks. Physica A: Statistical Mechanics and its Applications 391(3)-799-808.
D. Rozado, F.B. Rodriguez, P. Varona. 2012. Low Cost Remote Gaze Gesture Recognition in Real Time. Applied Soft Computing 12(8): 2072-2084.
A. Granados, D. Camacho, F.B. Rodriguez. 2012. Is the contextual information relevant in text clustering by compression? Expert Systems with Applications 39(10): 8537-8546.
M.I. Rabinovich, V.S. Afraimovich, C. Bick, P. Varona. 2012. Information flow dynamics in the brain. Physics of Life Reviews 9(1): 51-73.
E. Castellano-Hernandez, F.B. Rodriguez, E. Serrano, P. Varona, G.M. Sacha. 2012. On the use of Artificial Neural Networks in Electrostatic Force Microscopy. Nanoscale Research Letters 7:250.
M.I. Rabinovich, V.S. Afraimovich, C. Bick, P. Varona. 2012. Instability, semantic dynamics and modeling brain data. Physics of Life Reviews 9(1): 80-83.
A. Gonzalez-Pardo, P. Varona, D. Camacho, F.B. Rodriguez. 2012. Communication by identity discrimination in bio-inspired multi-agent systems. Concurrency and Computation: Practice and Experience 24(6): 589-603.
D. Rozado, F.B. Rodriguez, P. Varona. 2012. Extending the bioinspired hierarchical temporal memory paradigm for sign language recognition. Neurocomputing 79: 75-86.
D.J. Yanez, A. Toledano, E. Serrano, A.M. Martin de Rosales, F. B. Rodriguez, P. Varona. 2012. Characterization of a clinical olfactory test with an artificial nose. Frontiers in Neuroengineering 5:1.
D. Rozado, J. San Agustin, F.B. Rodriguez, P. Varona. 2012. Gliding and saccadic gaze gesture recognition in real time. ACM Transactions on Interactive Intelligent Systems 1(2): 10.
M.I. Rabinovich, P. Varona. 2011. Robust transient dynamics and brain functions. Frontiers in Computational Neuroscience 5:24.
A. Granados, M. Cebrian, D. Camacho, and F.B. Rodriguez. 2011. Reducing the Loss of Information through Annealing Text Distortion. Knowledge and Data Engineering, IEEE Transactions on, 23(7): 1090-1102.
F. Herrero-Carron, F.B. Rodriguez, P. Varona. 2011. Bio-inspired design strategies for central pattern generator control in modular robotics. Bioinspiration & Biomimetics 6(1): 016006.
M. Gonzalez, D. Dominguez, Angel Sanchez. 2011. Learning sequences of sparse correlated patterns using small-world attractor neural networks: An application to traffic videos. Neurocomputing 74(14-15):2361-2367.
R. Latorre, F.B. Rodriguez, P. Varona. 2011. Signature Neural Networks: Definition and Application to Multidimensional Sorting Problems. IEEE Transactions on Neural Networks 22(1): 8-23.
L.F. Lago-Fernandez, M. Sanchez-Montanes, F. Corbacho. 2011. The effect of low number of points in clustering validation via the negentropy increment. Neurocomputing 74(16): 2657-2664.
F. Baroni, J.J. Torres, P. Varona. 2010. History-Dependent Excitability as a single-cell substrate of transient memory for information discrimination. PLoS ONE 5(12): e15023.
M.I. Rabinovich, V.S. Afraimovich, P. Varona. Heteroclinic Binding. 2010. Dynamical Systems 25(3): 433-442.
F. Baroni, P. Varona. 2010. Spike timing-dependent plasticity is affected by the interplay of intrinsic and network oscillations. Journal of Physiology-Paris 104 (1-2): 91-98.
G.M. Sacha, F.B. Rodriguez, E. Serrano, P. Varona. 2010. Generalized Image Charge Method to Calculate Electrostatic Magnitudes at the Nanoscale Powered by Artificial Neural Networks. Journal of Electromagnetic Waves and Applications 24: 1145-1155.
D. Rozado, F.B. Rodriguez, P. Varona. 2010. Optimizing Hierarchical Temporal Memory for Multivariable Time Series. Lect Notes Comput. Sc 6353: 506-518.
L.F. Lago-Fernandez, F. Corbacho. Normality-based validation for crisp clustering. Pattern Recognition 43(3): 782-795.
M. Gonzalez, D. Dominguez, and F.B. Rodriguez. 2009. Block attractor in spatially organized neural networks. Neurocomputing 72: 3795-3801.
L.F. Lago-Fernandez, A. Szucs, P. Varona. 2009. Determining burst firing time distributions from multiple spike trains. Neural Computation 21(4): 973-990.
F.B. Rodriguez, R. Huerta. 2009. Techniques for temporal detection of neural sensitivity to external stimulation. Biological Cybernetics 100: 289-297.
D. Dominguez, M. Gonzalez, E. Serrano, and F.B. Rodriguez. 2009. Structured information in small-world neural networks. Phys. Rev. E 79, 021909.
G.M. Sacha, F.B. Rodriguez, P. Varona. 2009. Inverse problem solution for undetermined electrostatic force microscopy setups using neural networks. Nanotechnology 20(8): 085702.
C. Muniz, R. Levi, M. Benkrid, F.B. Rodriguez, P. Varona. 2008. Real-time control of stepper motors for mechanosensory stimulation. Journal of Neuroscience Methods 172 (1): 105-111.
M.I. Rabinovich, R. Huerta, P. Varona, V.S. Afraimovich. 2008. Transient Cognitive Dynamics, Metastability and Decision Making. PLoS Computational Biology 4(5): e1000072.
M.A. Sanchez-Montanes, J.W. Gardner, T.C. Pearce. 2008. Spatio-temporal information in an artificial olfactory mucosa. Proceedings of the Royal Society A 464 (2092): 1057-1077.
T. Nowotny, R. Levi, A.I. Selverston. 2008. Probing the dynamics of identified neurons with a data-driven modeling approach. PLoS ONE 3(7): e2627.
C. Miravet, F.B. Rodriguez. 2007. A two-step neural-network based algorithm for fast image super-resolution. Image and Vision Computing 25(9): 1449-1473.
F. Baroni, P. Varona. 2007. Subthreshold oscillations and neuronal input-output relationships. Neurocomputing 70(10-12): 1611-1614.
D. Campos, C. Aguirre, E. Serrano, F.B. Rodriguez, G.G. de Polavieja, P. Varona. 2007. Temporal structure in the bursting activity of the leech heartbeat CPG neurons. Neurocomputing 70(10-12): 1792-1796.
G.R. Stiesberg, M.B. Reyes, P. Varona, R.D. Pinto, R. Huerta. 2007. Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information. Neural Computation 19 (4): 974-993.
R. Latorre, F.B. Rodriguez, P. Varona. 2007. Reaction to neural signatures through excitatory synapses in central pattern generator models. Neurocomputing 70(10-12): 1797-1801.
S. Ramaswamy, F. Baroni, P. Varona, G.G. de Polavieja. 2007. Time-scales in the interplay between calcium and voltage dynamics. Neurocomputing 70(10-12): 1949-1953.
T. Nowotny, A. Szucs, R. Levi, A.I. Selverston. 2007. Models wagging the dog: are circuits constructed with disparate parameters? Neural Computation 19 (8): 1985-2003.
L.F. Lago-Fernandez. 2007. Spike alignment in bursting neurons. Neurocomputing 70(10-12): 1788-1791.
D. Dominguez, K. Koroutchev, E. Serrano, F.B. Rodriguez. 2007. Information and Toplogy in Attractor Neural Networks. Neural Computation 19 (4): 956-973.
M.I. Rabinovich, P. Varona, A.I. Selverston, H.D.I. Abarbanel. 2006. Dynamical Principles in Neuroscience. Reviews of Modern Physics 78(4): 1213-1265.
R. Latorre, F.B. Rodriguez, P. Varona. 2006. Neural Signatures: Multiple Coding in Spiking Bursting Cells. Biological Cybernetics 95(2): 169-183.
M.I. Rabinovich, R. Huerta, P. Varona. 2006. Heteroclinic synchronization: Ultra-subharmonic locking. Physical Review Letters 96: 0141001.
C. Aguirre, D. Campos, P. Pascual and E. Serrano. 2006. Synchronization effects using a piecewise linear map-based spiking-bursting neuron model. Neurocomputing 69 (10-12): 1116-1119.
M.I. Rabinovich, R. Huerta, P. Varona, V.S. Afraimovich. 2006. Generation and reshaping of sequences in neural systems. Biological Cybernetics 95(6): 519-536.
C. Aguirre, J. Martins, RV Memdes. 2006. Dynamics and coding of a biologically motivated network. International Journal of Bifurcation and Chaos 16(2): 383-394.
R. Levi, P. Varona, Y.I. Arshavsky, M.I. Rabinovich, A.I. Selverston. 2005. The role of sensory network dynamics in generating a motor program. Journal of Neuroscience 25 (42): 9807-9815.
Corbacho F, Nishikawa KC, Weerasuriya A, Liaw JS, Arbib MA. 2005. Schema-based learning of adaptable and flexible prey- catching in anurans I. The basic architecture. Biological Cybernetics 93(6): 391-409.
Corbacho F, Nishikawa KC, Weerasuriya A, Liaw JS, Arbib MA. 2005. Schema-based learning of adaptable and flexible prey- catching in anurans II. Learning after lesioning. Biological Cybernetics 93(6): 410-25.
A. Venaille, P. Varona, M.I. Rabinovich. 2005. Synchronization and coordination of sequences in two neural ensembles. Physical Review E 71, 061909.
F. Baroni, J.J. Torres, P. Varona. 2005. Interacting Slow and Fast Dynamics in Precise Spiking-Bursting Neurons. Lect. Notes Comput Sc. 3561: 106-115.
C. Muniz, S. Arganda, F.B. Rodriguez, G.G. de Polavieja, P. Varona. 2005. Realistic Stimulation Through Advanced Dynamic Clamp Protocols. Lect. Notes Comput Sc. 3561: 95-105.
C. Aguirre, D. Campos, P. Pascual, E. Serrano. 2005. Neuronal behavior with sub-threshold oscillations and spiking/bursting activity using a piecewise linear two-dimensional map. Lect. Notes Comput. Sc. 3696: 103-108.
C. Aguirre, D. Campos, P. Pascual, E. Serrano. 2005. A Model of Spiking-Bursting Neuronal Behavior Using a Piecewise Linear Two-Dimensional Map. Lect. Notes Comput. Sc. 3512: 130-135.
M. del Valle, B. Sanchez, L.F. Lago-Fernandez, F.J. Corbacho. 2005. Feature Discovery in Classification Problems. Lect. Notes Comput. Sc. 3649: 486-496.
C. Miravet and F.B. Rodriguez. 2005. Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations. Lect. Notes Comput. Sc. 3696: 499-505.
M. del Valle, B. Sanchez, L.F. Lago-Fernandez, F.J. Corbacho. 2005. Towards a Methodology to Search for Near-Optimal Representations in Classification Problems. Lect. Notes Comput. Sc. 3562: 291-299.
R. Levi, P. Varona, Y.I. Arshavsky, M.I. Rabinovich, A.I. Selverston. 2004. Dual sensory-motor function for a molluskan statocyst network. Journal of Neurophysiology 91: 336-345.
P. Varona, R. Levi, Y.I. Arshavsky, M.I. Rabinovich, A.I. Selverston. 2004. Competing sensory neurons and motor rhythm coordination. Neurocomputing 58-60: 549-554.
Sanchez-Montanes MA, Corbacho FJ. 2004. A new information processing measure for adaptive complex systems. IEEE Transations on Neural Networks 15(4): 917-927.
Rodriguez FB, Huerta R. 2004. Analysis of perfect mappings of the stimuli through neural temporal sequences Neural Networks 17(7): 963-73.
C. Aguirre, D. Campos, P. Pascual, E. Serrano. 2004. Criteria for Stability in Neural Network Models with Iterative Maps. Lect Notes Comput. Sc. 3173: 55-60.
R. Huerta, T. Nowotny, M. Garcia-Sanchez, H.D. Abarbanel, M.I. Rabinovich. 2004. Learning classification in the olfactory system of insects. Neural Computation 16(8): 1601-1640.
David R. C. Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco B. Rodriguez. 2004. Mutual Information and Topology 1: Asymmetric Neural Network. Lect. Notes Comput. Sc. 3173: 14-19.
Kostadin Koroutchev, David R. C. Dominguez, Eduardo Serrano, Francisco B. Rodriguez. 2004. Mutual Information and Topology 2: Symmetric Network. Lect. Notes Comput. Sc. 3173: 20-25.
V. Afraimovich, M.I. Rabinovich, P. Varona. 2004. Heteroclinic Contours in Neural Ensembles and the Winnerless Competition Principle. International Journal of Bifurcation and Chaos 14(4): 1195-1208.
M. Garcia-Sanchez, R. Huerta. 2004. Neural networks with Hebbian learning do not outperform random ones in fan-out systems. Neurocomputing 58-60: 337-342.
R. Latorre, F.B.Rodriguez, P. Varona. 2004. Effect of individual spiking activity on rhythm generation of Central Pattern Generators. Neurocomputing 58-60: 535-540.
A. Tristan, F. de Borja Rodriguez, E. Serrano, P. Varona. 2004. Networks of Neurons that Emit and Recognize Signatures. Neurocomputing 58-60: 41-46.
Carlos Miravet, Francisco B. Rodriguez. 2003. A Hybrid MLP-PNN Architecture for Fast Image Superrresolution. Lect. Notes Comput. Sc. 2714: 401-408.
L. F. Lago-Fernandez, M. A. Sanchez-Montanes and E. Sanchez. 2003. A visual system for invariant recognition in animated image sequences. Neurocomputing 52-54: 631-636.
M. Garcia-Sanchez, R. Huerta. 2003. Design parameters of the fan-out phase of sensory systems. Journal of Computational Neuroscience 15(1): 5-17.
Nazareth P. Castellanos, Francisco B. Rodriguez, P. Varona. 2003. Stochastic Networks with Subthreshold Oscillations and Spiking Activity. Lect. Notes Comput. Sc. 2686: 32-39.
C Aguirre, D. Campos, P. Pascual, E. Serrano. 2003. Effects of Different Connectivity Patterns in a Model of Cortical Circuits, Lect. Notes Comput. Sc. 2686: 76-85.
D. Bolle, D. Dominguez, R. Erichsen, E. Korutcheva and W.K. Theumann. 2003. Time evolution of the extremely diluted Blume-Emery-Griffiths neural network. Physical Review E 68 pg. 62901.
J.R. Dorronsoro, A. Gonzalez, E. Serrano. 2003. Linear Unit Relevance in Multiclass NLDA, Lect. Notes Comput. Sc. 2686: 174-181.
D. Dominguez. 2003. The Antiquadrupolar Phase of the Biquadratic Neural Network, Lect. Notes Comput. Sc. 2686: 462-469 (2003).
Abarbanel, HDI; Huerta R., Rabinovich, MI. 2002. Dynamical model of long-term synaptic plasticity. Proc. Natl. Acad. Sci. U. S. A, vol 99 (15): 10132-10137.
L. Lopez-Aguado L., J.M. Ibarz, P. Varona and O. Herreras. 2002. Structural inhomogeneities differentially modulate action currents and population spikes initiated in the axon or dendrites. Journal of Neurophysiology 88(5): 2809-2820 (for additional model details click here).
P. Varona, M.I. Rabinovich, A.I. Selverston, Y.I. Arshavsky. 2002. Winnerless competition between sensory neurons generates chaos: a possible mechanism for molluscan huting behavior. Chaos 12(3):672-677.
P. Varona, C. Aguirre, J.J. Torres, M.I. Rabinovich, H.D.I. Abarbanel. 2002. Spatio-temporal patterns of network activity in the inferior olive. Neurocomputing 44-46: 685-690.
R. Latorre, F.B.Rodriguez, P. Varona. 2002. Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis. Lect. Notes Comput. Sc. 2415: 160-166.
F.B. Rodriguez, R. Latorre, P. Varona. 2002. Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis. Lect. Notes Comput. Sc. 2415: 167-173.
Sanchez-Montanes, MA; Konig, P; Verschure, PFMJ. 2002. Learning sensory maps with real-world stimuli in real time using a biophysically realistic learning rule. IEEE Transactions on Neural Networks, MAY, 2002, V13(N3):619-632.
Sanchez-Montanes, M. A. & Pearce, T. 2002. Why do olfactory receptors have unspecific receptive fields. Biosystems 63(1-3): 229-238.
L. F. Lago-Fernandez and G. Deco. 2002. A model of binocular rivalry based on competition in IT. Neurocomputing, vol. 44-46C, pp. 503-507.
L. F. Lago-Fernandez and F. J. Corbacho. Optimal extraction of hidden causes. 2002. Lect. Notes Comput. Sc. vol. 2415. 631-6.
Carlos Aguirre, Fernando Corbacho, Ramon Huerta and Pedro Pascual. 2002. Analysis of Biologically Inspired Small-World Networks. Lect. Notes Comput. Sc. 2415: 27-32.
Sanchez-Montanes, M.A.; Corbacho, F.J. 2002. Towards a new information processing measure for neural computation, Lect. Notes Comput. Sc. 2415: 637-642.
M. A. Sanchez-Montanes, L. F. Lago-Fernandez, Nazareth P. Castellanos, A. Merchan-Perez, J. I. Arellano and J. DeFelipe. 2002. A model of human cortical microcircuits for the study of the development of epilepsy. Lect. Notes Comput. Sc. 2415: 248-253.
David Dominguez, E. Korutcheva, W.K.Theumann & R. Erichsen Jr. 2002 Flow Diagrams of the Quadratic Neural Network. Lect. Notes Comput. Sc. 2415: 129-134.
A. Sierra and F. Corbacho. Input and Output Feature Selection. 2002. Lect. Notes Comput. Sc.2415: 625-630.
F.B. Rodriguez, A. Suarez, V. Lopez. 2002. A Discrete Model of Neural Ensembles. Philosophical Transactions of The Royal Society: Mathematical, Physical & Engineering Sciences, Vol 360(1792), pp 559-573.
P. Varona, J.J. Torres, R. Huerta, H.D.I. Abarbanel, M.I. Rabinovich. 2001. Regularization mechanisms of spiking-bursting neurons. Neural Networks, 14: 865-875.
F.B. Rodriguez, P. Varona, R. Huerta, M.I. Rabinovich, H.D.I. Abarbanel. 2001. Richer network dynamics of intrinsically non-regular neurons measured through mutual information. Lect. Notes Comput. Sc., 2084: 490-497.
O. Herreras, J.M. Ibarz, L. Lopez-Aguado, P. Varona. 2001. Dendrites: the last-generation computers. Lect. Notes Comput. Sc., 2084: 1-13.
P. Varona, J.J. Torres, H.D.I. Abarbanel, M.I. Rabinovich, R. C. Elson. 2001. Dynamics of two electrically coupled chaotic neurons: Experimental observations and model analysis. Biological Cybernetics. 84 (2): 91-101.
R. Huerta, P. Varona, M.I. Rabinovich, H.D.I. Abarbanel. 2001. Topology selection by chaotic neurons of a pyloric central pattern generator. Biological Cybernetics 84 (1): L1-L8.
M.Bazhenov, M.Stopfer, M.Rabinovich, R.Huerta, H.D.I.Abarbanel, T.J.Sejnowski and G.Laurent. 2001. Model of transient synchronization in the locust antennal lobe. Neuron, 30: 553-567.
Rabinovich, M.; Volkovskii, A.; Lecanda, P.; Huerta, R.; and others. Dynamical encoding by networks of competing neuron groups: winnerless competition. Physical Review Letters, 6 Aug. 2001, vol.87, (no.6):068102/1-4
Rodriguez, F.B.; Huerta, R.; Lopez, V. 2001. Global dynamics of a network of stochastic neurons maximizes local mutual information. Network: Computation in Neural Systems, vol.12, (no.1):33-46.
L. F. Lago-Fernandez, M. A. Sanchez-Montanes and F. J. Corbacho. A biologically inspired visual system for an autonomous robot. Neurocomputing, vol. 38-40, pp. 1385-1391 (2001).
L. F. Lago-Fernandez, F. J. Corbacho and R. Huerta. 2001. Connection topology dependence of synchronization of neural asemblies on class 1 and 2 excitability. Neural Networks, 14, 687-696.
L. F. Lago-Fernandez and G. Deco. Simultaneous parallel processing of object and position by temporal correlation. 2001. Bio-inspired applications of connectionism, Lect. Notes Comput. Sc. 2085: 64-71.
Sanchez-Montanes, MA; Pearce, TC. 2001. Fisher information and optimal odor sensors. Neurocomputing, 38-40:335-341.
Sanchez-Montanes, MA; Corbacho, FJ; Verschure, PFMJ; Siguenza, JA. 2001. A biologically plausible model for the development of selective microcircuits in striate cortex. Neurocomputing, 38-40: 851-857.
Sanchez-Montanes, MA; Konig, P; Verschure, PFMJ. 2001. Learning in a neural network model in real time using real world stimuli. Neurocomputing, 38-40: 859- 865.
Sanchez-Montanes, M. A. 2001. Strategies for the optimization of large scale networks of integrate and fire neurons. Lect. Notes Comput. Sc. 2084: 117-125.
F.B. Rodriguez, A. Suarez, V. Lopez. 2001. Period Focusing Induced By Network Feedback in Populations of Noisy Integrate-and-Fire Neurons. Neural Computation, Vol 13, pp 2495- 2516.
R.D. Pinto, P. Varona, A.R. Volkovskii, A. Szucs, H.D.I. Abarbanel and M.I. Rabinovich. 2000. Synchronous behavior of two coupled electronic neurons. Physical Review E, 62(2): 2644-56.
A.I. Selverston, M.I. Rabinovich, H.D.I. Abarbanel, R. Elson, A. Szucs, R.D. Pinto, R. Huerta and P. Varona. 2000. Reliable circuits from irregular neurons: a dynamical approach to unterstanding central pattern generators. J. Physiol. (Paris), 94: 357-374.
P. Varona, J. M. Ibarz, L. Lopez, O. Herreras. 2000. Macroscopic and Subcellular Factors Shaping Population Spikes. Journal of Neurophysiology, 83 (4): 2192-2208 (for additional model details click here).
A. Szucs, P. Varona, A.R. Volkovskii, H. D. I. Abarbanel, M.I. Rabinovich, A.I. Selverston. 2000. Interacting Biological and Electronic Neurons Generate Realistic Oscillatory Rhythms. NeuroReport, 11 (3): 563-569.
M.I. Rabinovich, P. Varona, H.D.I. Abarbanel. Nonlinear Cooperative Dynamics of Living Neurons. 2000. International Journal of Bifurcation and Chaos, 10 (5): 913-933.
Falcke, R. Huerta, M. I. Rabinovich, Henry D. I. Abarbanel, Robert C. Elson, Allen I. Selverston. 2000. Modeling Observed Chaotic Oscillations in Bursting Neurons: The Role of Calcium Dynamics and IP3.' Biological Cybernetics 82 (6), 517-527.
L.F. Lago-Fernndez,R. Huerta, F. Corbacho, J. A. Siguenza. 2000. Fast response and temporal coding on coherent oscillations in small-world networks. Physical Review Letters 84, 2758-2761.
M. La Rosa, M. I. Rabinovich, R. Huerta, H. D. I. Abarbanel, L. Fortuna. 2000. Slow regularization through chaotic oscillation transfer in an unidirectional chain of Hindmarsh-Rose models. Physics Letters A 266 (1): 88-93.
R. Huerta, M. A. Sanchez-Montanes, F. Corbacho, J. A. Siguenza. 2000. A central pattern generator to control a pyloric-based system", Biological Cybernetics 82 (1), 85-94.
Sierra, A. and Corbacho, F. 2000. Reclassification as Supervised Clustering. Neural Computation, 12(11): 2537-2546.
Sanchez-Montanes, M.A.; Verschure, P.M.F.J.; Konig, P. 2000. Local and global gating of synaptic plasticity. Neural Computation, 12(3): 519-529.
M.I. Rabinovich, P. Varona, J.J. Torres, R. Huerta, H.D.I. Abarbanel. 1999. Slow dynamics and regularization phenomena in ensembles of chaotic neurons. Physica A, 263: 405-414.
M.I. Rabinovich, J.J. Torres, P. Varona, R. Huerta, P. Weidman. 1999. Origin of Coherent Structures in a Discrete Chaotic Medium. Physical Review E, 60 (2): R1130-R1133.
Elson, RC; Huerta, R; Abarbanel, HDI; Rabinovich, MI; Selverston, AI. Dynamic control of irregular bursting in an identified neuron of an oscillatory circuit. Journal of Neurophysiology. 1999, V82(N1):115-122.

Patents:

Method for analysis of a gas and artificial nose, Yáñez, D; Rodríguez, F.B, Serrano, E.; Varona P. Application # ESP201330048, Reference: P5711ES00. Granted on 20/10/2015 (Nº 2486891B1). Licensed to Deutecno-SGENIA. PCT/ES2014/070025.
Method and system for characterising and certifying the progress of food processes. García C. , Rodríguez I., Serrano E., Rodríguez F.B., Varona P., P201931163. PCT: WO2021130401. Granted on 04/04/2023.
Non-invasive method and system for charactesing and certifying cognitive activities. García C. , Rodríguez I., Serrano E., Rodríguez F.B., Varona P., Spain: P201931165. Granted on 14/12/2023. Europe: EP20906025.0A. USA: US 17/757,954. PCT: WO2021130402.

Books & book chapters:

P. Varona, D. Arroyo, F.B. Rodriguez, T. Nowotny. Online event detection requirements in closed-loop neuroscience. In Closed-Loop Neuroscience. El Hady A. (Ed), Academic Press. 2016. ISBN 9780128024522.
T. Nowotny and P. Varona. Dynamic Clamp Technique. In Encyclopedia of Computational Neuroscience. D. Jaeger and R. Jung, Eds. Springer-Verlag 2014. ISBN 978-1-4614-6674-1.
M.I. Rabinovich, K. Friston, P. Varona, Eds. 2012. Principles of Brain Dynamics: Global State Interactions. The MIT Press, Cambridge. ISBN 978-0-262-01764-0.
M.I. Rabinovich, P. Varona. Transient Brain Dynamics. In Principles of Brain Dynamics, Rabinovich M.I., Friston K.J., Varona P. (Eds), The MIT Press, 2012, pp. 71-92. ISBN 978-0-262-01764-0.
M.I. Rabinovich, C. Bick, P. Varona. The Statibility of Information Flows in the Brain. In Principles of Brain Dynamics, Rabinovich M.I., Friston K.J., Varona P. (Eds), The MIT Press, 2012, pp 141-164. ISBN 978-0-262-01764-0.
V.S. Afraimovich, M.I. Rabinovich, P. Varona, Short Guide to Modern Nonlinear Dynamics. In Principles of Brain Dynamics, Rabinovich M.I., Friston K.J., Varona P. (Eds), The MIT Press, 2012, pp 313-338. ISBN 978-0-262-01764-0.
T. Nowotny and P. Varona. Dynamic Clamp. In Encyclopedia of Nanotechnology, B. Bhushan, H.D. Winbigler (eds.), Springer Verlag, 2012, ISBN 978-90-481-9750-7, ISBN 978-90-481-9752-1.
J.J. Torres and P. Varona. Modeling Biological Neural Networks. In Handbook of Natural Computing, Rozenberg, G.; Back, T.H.W.; Kok, J. N. (Eds.). Springer Verlag, 2012, ISBN: 978-3-540-92911-6.
L. Vazquez, S. Jimenez, C. Aguirre, P. Pascual. 2008. Metodos Numericos para la Fisica y la Ingenieria. Ed. McGraw Hill.
D. Dominguez E. Korutcheva. 2004. Dynamical Flows of a Biquadratic Information Network. Nova Sc. Publi. In Advances in Condensed Matter and Statistical Physics (EK & RC Eds). ISBN: 1-59033-899-5.
Pearce, T.C. & Sanchez-Montanes, M. A. 2003. Chemical Sensor Array Optimization: Geometric and Information Theoretic Approaches. In Handbook of Machine Olfaction: Electronic Nose Technology. Editors: T.C. Pearce, S.S. Schiffman, H. T. Nagle and J.W. Gardner. Publisher: Wiley-VCH. ISBN: 3-527-30358-8.
H.J. Kappen and F.B. Rodriguez. Efficient Learning in Boltzmann Machines Using Linear Response Theory. In Graphical Models, Foundations of Neural Computation, Edited by Michael I. Jordan and Terrence J. Sejnowski, MIT press, September 2001. ISBN 0-262-60042-02001.
M.I. Rabinovich, J.J. Torres, P. Varona. 2000. Pattern Formation in Networks of Chaotic Spiking-Bursting Neurons. In Dynamical Systems: from Cristal to Chaos. World Scientific Books, 2000. ISBN 981-02-4217-4.

Other publications (conference papers, proceedings, abstracts, etc.):

P.E. Soëtard, R. Amaducci, P. Sánchez-Martín, M. Reyes-Sanchez, A. Garrido-Peña, R. Levi, F.B. Rodriguez, P. Varona. 2023. Dynamical principles of functional neural sequences validated in hybrid robots built with living central pattern generators. Journal of Computational Neuroscience 51 (Suppl 1): 3-101, P110 (CNS 2022, Melbourne).
P. Sánchez-Martín, A. Garrido-Peña, B. Berbel, F.B. Rodriguez, R. Levi, P. Varona. 2023. Influence of electrical coupling in shaping time intervals and dynamical invariants of central pattern generator sequences. Journal of Computational Neuroscience 51 (Suppl 1): 3-101, P109 (CNS 2022, Melbourne).
B. Berbel, P. Sánchez-Martín, R. Latorre, P. Varona. 2023. Balancing sequence robustness and interval variability in minimal CPG bursting models. Journal of Computational Neuroscience 51 (Suppl 1): 3-101, O2 (CNS 2022, Melbourne).
A. Garrido-Peña, P. Sánchez-Martín, M. Reyes-Sanchez, J. Castilla, J. Tornero, R. Levi, F.B. Rodriguez, P. Varona. 2023. Activity-dependent infrared laser stimulation to assess its biophysical effects on single neurons. Journal of Computational Neuroscience 51 (Suppl 1): 3-101, F3 (CNS 2022, Melbourne).
A. Lareo, P. Varona, F.B. Rodriguez. 2023. Assessing the electromotor neural network topology through modeling and genetic algorithm optimization. Journal of Computational Neuroscience 51 (Suppl 1): 3-101, P91 (CNS 2022, Melbourne).
A. Ayala, A. Lareo, P. Varona, F.B. Rodriguez. 2023. Closed-loop stimulation protocol driven by flexible neural codes based on Victor-Purpura distance. Journal of Computational Neuroscience 51 (Suppl 1): 3-101, P9192 (CNS 2022, Melbourne).
P. Varona. 2022. Robust sequential neural dynamics: from simple circuits to cognitive networks. Third Workshop on Nonlinear Dynamics in Biological Systems, Madrid.
A. Garrido-Peña, P. Sanchez-Martin, R. Levi, J. Castilla, J. Tornero, P. Varona. Activity-dependent stimulation to assess the effect of infrared-laser stimulation in single neurons. FENS 2022, S02-556 (Paris).
P. Sanchez-Martin, B. Berbel, R. Levi, R. Latorre, P. Varona. Dynamical evolution of electrically coupled neurons that participate in the coordination of sequential neural activity. FENS 2022, S02-556 (Paris).
S. Kamali, F. Baroni, P. Varona. Assessing robust sequences of neural dynamics: A new approach to M/EEG signals analysis. Journal of Computational Neuroscience 49 (Suppl 1): S192-S193 (CNS 2021, P196 Online).
P. Sanchez-Martin, I. Elices, A. Garrido-Peña, R. Levi, F.B. Rodriguez, P. Varona. Dynamic synchronization between electrically coupled cells of central pattern generators. Journal of Computational Neuroscience 49 (Suppl 1): S191-S192 (CNS 2021, P195 Online).
B. Berbel, A. Garrido-Peña, I. Elices, R. Latorre, P. Varona. Gap junctions shape the intervals that build robust sequences in a central pattern generator model. Journal of Computational Neuroscience 49 (Suppl 1): S190-S191 (CNS 2021, P194 Online).
A. Garrido-Peña, R. Levi, J. Castilla, J. Tornero, P. Varona. Effect of infrared laser stimulation in single neurons: Experimental and modeling study. Journal of Computational Neuroscience 49 (Suppl 1): S190 (CNS 2021, P193 Online).
M. Reyes-Sanchez, R. Amaducci, R. Levi, F.B. Rodriguez, P. Varona. Parameter adaptation of hybrid circuits by online exploration driven by genetic algorithms. Journal of Computational Neuroscience 49 (Suppl 1): S189-S190 (CNS 2021, P192 Online).
A. Ayala, A. Lareo, P. Varona, F.B. Rodriguez. Closed-loop temporal code-driven stimulation implemented and tested using Real-Time eXperimental Interface (RTXI). Journal of Computational Neuroscience 49 (Suppl 1): S155-S156 (CNS 2021, P153 Online).
A. Lareo, P. Varona, F.B. Rodriguez. Closed-loop stimulation guided by minimal codes in the sequential activity of weakly electric fish. Journal of Computational Neuroscience 49 (Suppl 1): S154-S155 (CNS 2021, P152 Online).
V. Changoluisa, P. Varona, F.B. Rodriguez. Improving the detection of ERPs and managing variability with dry electrodes in personalized brain computer interfaces. Journal of Computational Neuroscience 49 (Suppl 1): S190-S191 (CNS 2021, P151 Online).
J. Lopez-Hazas Sacristan, F.B. Rodriguez. Kenyon cells sensitivity control through thresholds tuning improves the discrimination capacity of the insect olfactory system. Journal of Computational Neuroscience 49 (Suppl 1): S153 (CNS 2021, P150 Online).
R. Amaducci, I. Elices, M. Reyes-Sanchez, A. Garrido-Peña, Rafael Levi, F.B. Rodriguez, P. Varona. Controlling robotic locomotion by a closed-loop interaction with livingcentral pattern generators. Cosyne 2021 2-030 (P115). Online.
A. Garrido-Peña, I. Elices, R. Levi, F.B. Rodriguez, P. Varona. Universality of interval variability constraints in the sequential activityof motor circuits. Cosyne 2021 1-018 (P49). Online.
B. Berbel, A. Garrido-Peña, I. Elices, R. Latorre, P. Varona. 2021. Effect of Electrical Synapses in the Cycle-by-Cycle Period and Burst Duration of Central Pattern Generators. Lect Notes in Comput. Sc 12862: 81-92.
A. Garrido-Peña, Pablo Sánchez-Martín, R. Levi, J. Castilla, J. Tornero, P. Varona. Noviembre 2021. Effect of near infrared-laser stimulation in single neurons and electrically coupled cells. Society for Neuroscience Meeting (SFN) 2021, P988.06 (online).
V. Changoluisa, P. Varona, F.B. Rodriguez. 2021. A Fine Dry-Electrode Selection to Characterize Event-Related Potentials in the Context of BCI. Lect Notes in Comput. Sc 12861: 230-241.
A. Garrido-Peña, R. Levi, J. Castilla, J. Tornero, P. Varona. “Experimental and modeling study of near infrared-laser stimulation in single and electrically coupled neurons.” Sociedad Española de Neurociencia (SENC) PS5-94. Lleida, Spain 2021.
A. Garrido-Peña, I. Elices, R. Levi, F.B. Rodriguez, P. Varona. Experimental and computational characterization of interval variability in the sequential activity of the Lymnaea feeding CPG, BMC Neuroscience 2020, 21(Suppl 1): O11 (CNS 2020, Online).
M. Reyes-Sanchez, I. Elices, R. Amaducci, F.B. Rodriguez, P. Varona. Parameter exploration in neuron and synapse models driven by stimuli from living neuron recordings. BMC Neuroscience 2020, 20(Suppl 1): P206 (CNS 2020, Online).
R. Amaducci, I. Elices, M. Reyes-Sanchez, A. Garrido-Peña, Rafael Levi, F.B. Rodriguez, P. Varona. Hybrid robot driven by a closed-loop interaction with a living central pattern generator with online feedback. BMC Neuroscience 2020, 20(Suppl 1): P207 (CNS 2020, Online).
I. Elices, M. Reyes-Sanchez, R. Amaducci1, R. Levi, F.B. Rodriguez, P. Varona. 2019. Hybrid circuits to assess sequential neural rhythms from low dimensional observations. BMC Neuroscience 2019, 20(Suppl 1): P321 (CNS 2019, Barcelona).
A. Lareo, P. Varona, F. B. Rodriguez. 2019. Tuning a computational model of the electromotor system to patterns of interpulse intervals recorded from Gnathonemus petersii specimens. BMC Neuroscience 2019, 20(Suppl 1): P263 (CNS 2019, Barcelona).
M. Reyes-Sanchez, R. Amaducci, I. Elices Ocon, F.B. Rodriguez, P. Varona. 2019. Transfer of rich living circuit dynamics to neuron models through graded synapses. BMC Neuroscience 2019, 20(Suppl 1): P323 (CNS 2019, Barcelona).
R. Amaducci, I. Elices Ocon, M. Reyes-Sanchez, R. Levi, F.B. Rodriguez, P. Varona. 2019. Robotic locomotion driven by the flexible rhythm of a living Central Pattern Generator. BMC Neuroscience 2019, 20(Suppl 1): P322 (CNS 2019, Barcelona).
A. Montero, J. Lopez-Hazas, F.B. Rodriguez. Neural heterogeneity in the gain control mechanism of antennal lobe improves odorant classification. BMC Neuroscience 2019, 20(Suppl 1): P262 (CNS 2019, Barcelona).
J. Lopez-Hazas, A. Montero, F.B. Rodríguez. Kenyon Cells threshold distribution adapts to pattern complexity in a bioinspired computational learning model of the locust olfactory system. BMC Neuroscience 2019, 20(Suppl 1): P264 (CNS 2019, Barcelona).
V. Changoluisa, P. Varona, F.B. Rodriguez. 2018. An electrode selection approach in P300-based BCIs to address inter-and intra-subject variability. 6th International Conference on Brain-Computer Interface (BCI), GangWon.
M. Reyes-Sanchez, I. Elices Ocon, R. Amaducci, F.B. Rodriguez, P. Varona. 2018. Assisted construction of hybrid circuits: making easy the implementation and automation of interactions between living and model neurons. BMC Neuorscience 2018, 19(Suppl 2): 019 (CNS 2018 Seattle).
R. Latorre, P. Varona, M.I. Rabinovich. Modeling rhythmic control of brain sequential dynamics. BMC Neuorscience 2018, 19(Suppl 2): P155 (CNS 2018 Seattle).
R. Amaducci, M. Reyes-Sanchez, I. Elices Ocon, F.B. Rodriguez, P. Varona. A cross-platform real-time model library to build hybrid neural circuits. BMC Neuorscience 2018, 19(Suppl 2): P172 (CNS 2018 Seattle).
I. Elices Ocon, M. Reyes-Sanchez, R. Amaducci, R. Levi, F.B. Rodriguez, P. Varona. Unveiling and characterizing dynamical invariants in central pattern generators. BMC Neuorscience 2018, 19(Suppl 2): P173 (CNS 2018 Seattle).
A. Lareo, P. Varona, F.B. Rodríguez. 2018. Evolutionary Tuning of a Pulse Mormyrid Electromotor Model to Generate Stereotyped Sequences of Electrical Pulse Intervals. Lect Notes in Comput. Sc 11140: 359-368.
C. García-Saura, E. Serrano, F.B. Rodríguez, P. Varona. 2017. Effects of Locomotive Drift in Scale-Invariant Robotic Search Strategies. Lect Notes in Comput. Sc 10384: 161-169.
A. Lareo, C.G. Forlim, R.D. Pinto, P. Varona, F.B. Rodriguez. 2017. Analysis of Electroreception with Temporal Code-Driven Stimulation. Lect Notes in Comput. Sc 10305: 101-111.
V. Changoluisa, P. Varona, F.B. Rodriguez. 2017. How to Reduce Classification Error in ERP-Based BCI: Maximum Relative Areas as a Feature for P300 Detection. Lect Notes in Comput. Sc 10305: 486-497.
P. Varona, M.I. Rabinovich. 2017. Representing and implementing cognitive sequential interactions. BMC Neuroscience 2017, 18 (Suppl 1):P212 (CNS 2017, Antwerp, Belgium).
R. Amaducci, C. Muñiiz, M. Reyes-Sanchez, F.B. Rodriguez, P. Varona. On the need for standardized real-time software technology in closed-loop neuroscience. BMC Neuroscience 2017, 18 (Suppl 1):P104 (CNS 2017, Antwerp, Belgium).
M. Reyes-Sanchez, I. Elices Ocon, R. Amaducci, C. Muniz, F.B. Rodriguez, P. Varona. Automatic calibration for hybrid circuits of living and artificial neurons. BMC Neuroscience 2017, 18 (Suppl 1):P281 (CNS 2017, Antwerp, Belgium).
I. Elices Ocon, D. Arroyo, R. Levi, F.B Rodríguez, P. Varona. Role of asymmetry in shaping spiking-bursting activity of Central Pattern Generators. BMC Neuroscience 2017, 18 (Suppl 1):P282 (CNS 2017, Antwerp, Belgium).
C. Garcia Forlim, L.O.B. de Almeida, A. Lareo, R.D Pinto, P. Varona, F.B. Rodríguez. Closed-loop temporally structured light stimulation in weakly electric fish. BMC Neuroscience 2017, 18 (Suppl 1):P223 (CNS 2017, Antwerp, Belgium).
V. Changoluisa, P. Varona, F.B. Rodríguez. Maximum Relative Area as a Feature for Adaptability in ERP-based BCI Systems. BMC Neuroscience 2017, 18 (Suppl 1):P226 (CNS 2017, Antwerp, Belgium).
A. Lareo, C. Garcia Forlim, R.D. Pinto, P. Varona, F.B Rodríguez. Information-theoretic analysis of temporal code-driven stimulation applied to electroreception. BMC Neuroscience 2017, 18 (Suppl 1):P224 (CNS 2017, Antwerp, Belgium).
I. Elices, D. Arroyo, R. Levi, F.B. Rodriguez, P. Varona. 2016. Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators. BMC Neuroscience 2016, 17(Suppl 1):O1 (CNS 2016, Jeju, S. Korea).
J.J. Torres, F. Baroni, R. Latorre, P. Varona. 2016. Temporal input discrimination from the interaction between dynamic synapses and neural subthreshold oscillations. BMC Neuroscience 2016, 17(Suppl 1):P39 (CNS 2016, Jeju, S. Korea).
P. Varona, F. Baroni, R. Latorre, J.J. Torres. Selectivity to temporal information arising from the interaction between dynamic synapses and intrinsicsubthreshold oscillations. Society for Neuroscience Abs. 2016b, 221.07.
I. Elices, D. Arroyo, R. Levi, F.B. Rodriguez, P. Varona. Coordination of irregular bursting rhythms in central pattern generators. Society for Neuroscience Abs. 2016, 535.11.
I. Elices, P. Varona. 2015. Regularization of a half-center oscillator network by closed-loop control. BMC Neuroscience 2015, 16(Suppl 1):P275 (CNS 2015, Prague).
R. Latorre, J.J. Torres, P. Varona. 2015. Channel-specific input/output transformations arising from the interaction between dynamic synapses and subthreshold oscillations. BMC Neuroscience 2015, 16(Suppl 1):P274 (CNS 2015, Prague).
P. Varona. 2015. Heteroclinic dynamics and cognitive functions. Metastable Dynamics of Neural Ensembles Underlying Cognition Workshop (CNS 2015, Prague).
P. Varona. 2015. Heteroclinic dynamics and neural functions. Workshop on Heteroclinic Dynamics in Neuroscience. University of Nice, 17-18 December 2015.
A. Montero, R. Huerta, F. B. Rodriguez. 2015. Specialist Neurons in Feature Extraction Are Responsible for Pattern Recognition Process in Insect Olfaction. Lect Notes in Comput. Sc 9107: 58-67.
D. Arroyo, J. Diaz, F.B. Rodriguez. 2015. Non-conventional Digital Signatures and Their Implementations - A Review. Advances in Intelligent Systems and Computing 369: 425-435.
C. García-Saura, F.B. Rodríguez, P. Varona. 2014. Design Principles for Cooperative Robots with Uncertainty-Aware and Resource-Wise Adaptive Behavior. Lect Notes in Comput. Sc 8608: 108-117.
R. Latorre, R. Levi, P. Varona. Dual sensory network dynamics driving a context-dependent motor behavior. 2014 International Conference on Neuroethology, Sapporo, Japan, PO2069.
P. Varona. Models of transient sequential neural dynamics. 2014. International Workshop in Neurodynamics NDY’14, Castro Urdiales, Spain, P37.
P. Varona, D. Arroyo, F.B. Rodriguez. Closed-loop approaches to characterize transient neural dynamics. AIMS 2014. Special Session 77: Theoretical, Technical and Experimental Challenges in Closed-Loop Approaches in Biology, 4. Madrid, Spain.
D. Arroyo, P. Varona, F.B. Rodríguez. Automatic event detection and characterization in the context of real-time control of complex time-varying dynamical systems. AIMS 2014. Special Session 77: Theoretical, Technical and Experimental Challenges in Closed-Loop Approaches in Biology, 2. Madrid, Spain.
A. Lareo, P. Varona, F.B. Rodriguez. Weakly Electric fish information processing analyzed through closed-loop code-driven stimulation. AIMS 2014. Special Session 77: Theoretical, Technical and Experimental Challenges in Closed-Loop Approaches in Biology, 1. Madrid, Spain.
I. Elices Ocon, P. Varona. Dynamics of heteroclinic networks with diffusive gap-junction coupling. AIMS 2014. Special Session 112: Nonlinear Dynamics in Neuroscience 2. Madrid, Spain.
P. Varona, J. Fernandez-Vargas, H.U. Pfaff, F.B. Rodriguez. Assisted closed-loop adaptation in brain-computer interfaces. Society for Neuroscience Abs. 2013, 834.18 (Society for Neuroscience Meeting 2013, San Diego).
T. Nowotny, E. Serrano, R. Levi, B.H. Smith, R. Huerta. 2013. Gain Control Network Conditions in early sensory coding. Society for Neuroscience Abstracts 2013, 450.26/OO9 (Society for Neuroscience Meeting 2013, San Diego).
R. Latorre, R. Levi, P. Varona. 2013. Sensory dynamics transformation into effective motor behavior. BMC Neuroscience 2013, 14: F2 (CNS 2013, Paris).
J. Fernandez-Vargas, H.U. Pfaff, F.B. Rodriguez, P. Varona. 2013. Assisted closed-loops for brain-computer interfaces. BMC Neuroscience 2013, 14: P406 (CNS 2013, Paris).
C.G. Forlim, C. Muñiz, R.D. Pinto, F.B. Rodríguez, P. Varona. 2013. Behavioral driving through on line monitoring and activity-dependent stimulation in weakly electric fish. BMC Neuroscience 2013, 14: P405 (CNS 2013, Paris).
E. Serrano, T. Nowotny, R. Levi, B.H. Smith, R. Huerta. 2013. Gain Control Network Conditions: the role of the inhibition. BMC Neuroscience 2013, 14: P176 (CNS 2013, Paris).
C. Aguirre, E. Serrano, P. Pascual. Detection of neuronal signatures by means of data-driven tomography. BMC Neuroscience 2013, 14: P309 (CNS 2013, Paris).
P. Varona. 2013. Models and novel experimental tools to address information processing in transient neural dynamics. Metastable Dynamics of Neural Ensembles Workshop (CNS 2013, Paris).
J. Fernandez-Vargas, H.U. Pfaff, F.B. Rodríguez, P. Varona. 2013. Assisted Closed-Loops for Subject-Specific BCI Adaptation. 5º Simposio CEA de Bioingeniería. Neurotecnología de Interfaces Cerebro Computador en España, Desde la Interacción Aumentada hasta la Neurorehabilitación.
A. Montero, R. Huerta, F.B. Rodríguez. 2013. Neuron Threshold Variability in an Olfactory Model Improves Odorant Discrimination. Natural and Artificial Models in Computation and Biology Lecture Notes in Computer Science Volume 7930, 2013, pp 16-25
M. Lopez, F.B. Rodríguez. 2013. Detection Method for Phase Synchronization in a Population of Spiking Neurons. Natural and Artificial Models in Computation and Biology Lecture Notes in Computer Science Volume 7930, 2013, pp 421-431.
J. C.G. Forlim, L.O.B. Almeida, P. Varona, F.B. Rodriguez, R.D. Pinto. 2012. Study of electric and motor behavior in weakly electric fish, Gymnotus carapo and Gnathonemus petersii, using Information Theory tools. Society for Neuroscience 2012 Abs., 501.10/EEE20, New Orleans (USA).
D. Arroyo, P. Chamorro, J.M. Amigo, F.B. Rodriguez, P. Varona. Event detection, multimodality and non-stationarity: order patterns, a tool to rule them all? 9th AIMS Conference on Dynamical Systems, Differential Equations and Applications. July 1-5, 2012 Orlando, USA. Abstract book pages: 213-214.
D. Arroyo D., F.B. Rodriguez F.B., P. Varona. Closing the loop in the context of complex biological systems: goals, needs and challenges. 8th FENS Forum of Neuroscience, Barcelona, July 14-18, 2012. Abstract Number 4545.
P. Varona P., P. Chamorro P., C. Muniz, R. Levi, D. Arroyo, F.B. Rodriguez. Extension of the dynamic clamp concept in neurophysiology and behavior. 8th FENS Forum of Neuroscience, Barcelona, July 14-18, 2012. Abstract Number 4328.
M.I. Rabinovich, P. Varona. 2012. The Dynamical Modeling of Cognitive Robot-Human Centered Interaction. Lect Notes Comput. Sc 7375: 228-237.
J. Diaz, D. Arroyo, and F. B. Rodriguez. An Approach for Adapting Moodle into a Secure Infrastructure. In A. Herrero and E. Corchado (Eds.): CISIS 2011, LNCS 6694, pp. 214-221, 2011.Springer-Verlag Berlin Heidelberg 2011.DOI: 10.1007/978-3-642-21323-6_27
I. Urziceanu, F. Herrero-Carron, J. Gonzalez-Gomez, M. Nitulescu, F.B. Rodriguez, P.Varona, Central pattern generator control of a differential wheeled robot; System Theory, Control, and Computing (ICSTCC), 2011 15th International Conference on, vol., no., pp.1-6, 14-16 Oct. 2011, Sinaia, Romania.
C. Muniz, C.G. Forlim, R.T. Guariento, R.D. Pinto, F.B. Rodriguez and Pablo Varona. 2011. Online video tracking for activity-dependent stimulation in neuroethology. BMC Neuroscience, 2011, 12:P358 (CNS 2011, Stockholm).
P. Chamorro, D. Marinazzo, R. Levi, F.B. Rodriguez and P. Varona. 2011. A model study for causal relationships between voltage and calcium dynamics. BMC Neuroscience, 2011, 12:P359 (CNS 2011, Stockholm).
E. Castellano-Hernandez, F. B. Rodriguez, E. Serrano, P. Varona and G. M. Sacha. On the use of Artificial Neural Networks in Electrostatic Force Microscopy. Trends in Nanotechnology 2011. Tenerife, November 21-25.
D. Arroyo, P. Chamorro, J.M. Amigo, F.B. Rodriguez, and P. Varona. On-line characterization of transient neuronal activity. IV International Conference Net-Works 2011 Complex Networks: Structure, Applications and Related Topics. El Escorial (Spain), October 26th-28th, 2011. Published in Int. J.Comp. Syst. Sci. vol.1(2), pp.146-151 (2011).
David Arroyo, Pablo Chamorro, Francisco B. Rodriguez, and Pablo Varona. Herramientas para la caracterizacion de actividad neuronal transitoria. XIV Congreso Nacional de la Sociedad Espanola de Neurociencia. Salamanca (Spain), 28-30 September 2011.
R. Latorre, F.B. Rodriguez, P. Varona. 2011. Local Context Discrimination in Signature Neural Networks. Lect Notes Comput. Sc 6687: 400-408.
F. Herrero-Carron, F.B. Rodriguez, P.Varona. 2011. Flexible entrainment in a bio-inspired modular oscillator for modular robot locomotion. Lect Notes Comput. Sc 6692: 532-539.
D. Rozado, F.B. Rodriguez, P. Varona. 2011. Gaze Gesture Recognition with Hierarchical Temporal Memory Networks. Lect Notes Comput. Sc 6691: 1-8.
C. Miravet and F.B. Rodriguez. 2010. A PCA-Based Super-Resolution Algorithm for Short Image Sequences. Proceedings of 2010 IEEE 17th International Conference on Image Processing: pp. 2025-2028.
A. Gonzalez-Pardo, P. Varona, D. Camacho and F.B. Rodriguez. 2010. Optimal message interchange in a self-organizing multi-agent system. Intelligent Distributed Computing IV, Studies in Computational Intelligence, 315. pp. 131-141.
A. Granados, R. Martinez, D. Camacho and F.B. Rodriguez. 2010. Relevance of Contextual Information in Compression-Based Text Clustering. Lecture Notes in Computer Science, 2010, Volume 6283/2010, 259-266.
A. Gonzalez-Pardo, F.B. Rodriguez, E. Pulido, D. Camacho. 2010. Using Virtual Worlds for Behaviour Clustering-based Analysis. SMVC '10 Proceedings of the 2010 ACM Workshop on Surreal Media and Virtual Cloning: 9-14.
A. Gonzalez-Pardo, A. Granados, D. Camacho, F.B. Rodriguez. 2010. Influence of music representation on compression-based clustering. 2010 IEEE Congress on Evolucionary Computattion (CEC): 1-8.
F. Herrero-Carron, F.B. Rodriguez, P. Varona. 2010. Dynamical invariants for CPG control in autonomous robots. Proceedings of ICINCO 2010, 7th International Conference on Informatics in Control, Automation and Robotics, 441-445.
F. Herrero-Carron, F.B. Rodriguez, P. Varona. 2010. Novel modular CPG topologies for modular robotics, Proceedings of the IEEE 2010 International Conference on Robotics and Automation workshop: 89-93.
F. Herrero-Carron, F.B. Rodriguez, P. Varona. 2010. Studying robustness against noise in oscillators for robot control. Proceedings of the ARCS Conference, Orlando: 58-64.
A. Gonzalez-Pardo, P. Varona, D. Camacho, F. B. Rodriguez. 2010. Optimal message interchange in a self-organizing multi-agent system. Studies in Computational Intelligence, 315: 131-141.
R. Levi, D. Marinazzo, P. Chamorro, F.B. Rodriguez, P. Varona. Causal relationships between calcium and membrane potential in CPG neurons. Society for Neuroscience Abs. 2010, 46.3.
F. Baroni, P. Varona. Transient memory from intrinsic single-cell dynamics quantified by history-dependent excitability. Society for Neuroscience Abs. 2010, 46.12.
L.F. Lago-Fernandez, A. Szucs, P. Varona. A spike alignment method to characterize firing time distributions. Society for Neuroscience Abs. 2009, 789.8.
P. Chamorro, R. Levi, F.B. Rodriguez, R.D. Pinto, P. Varona. Real-time activity-dependent drug microinjection. BMC Neuroscience 2009, 10: P296 (CNS 2009, Berlin).
C. Muniz, F.B. Rodriguez and P. Varona. RTBiomanager: a software platform to expand the applications of real-time technology in neuroscience. BMC Neuroscience 2009, 10: P49 (CNS 2009, Berlin).
B. Marin, F. Baroni, P. Varona and R.D. Pinto. Temporal structure of bursting patterns as representation of input history. BMC Neuroscience 2009, 10: P101 (CNS 2009, Berlin).
R. Martinez, M. Cebrian, F.B. Rodriguez, D. Camacho. 2008. Contextual information retrieval based on algorithmic information theory and statistical outlier detection. Information Theory Workshop. ITW '08. IEEE Conference Proceeding, pp. 292-297. DOI: 10.1109/ITW.2008.4578672.
A. Granados, M. Cebrian, D. Camacho, F.B. Rodriguez. 2008. Evaluating the Impact of Information Distortion on Normalized Compression Distance. A. Barbero (Ed.): ICMCTA, LNCS 5228, pp. 69-79, DOI: 10.1007/978-3-540-87448-5_8.
G. Cristobal, E. Gil, F. Sroubek, J. Flusser, C. Miravet, F. B. Rodriguez. 2008. Superresolution imaging: a survey of current techniques. Advanced Signal Processing Algorithms, Architectures, and Implementations XVIII. Edited by Luk, Franklin T. Proceedings of the SPIE, Volume 7074, pp. 70740C-18, DOI: 10.1117/12.797302.
F. Baroni, P. Varona. 2008. Effects of intrinsic oscillations on weight dynamics under spike timing-dependent plasticity. Proceedings of Neurocomp08, Marseille, France, 269-274. (direct link)
G.M. Sacha, F.B. Rodriguez, P. Varona. 2008. Artificial neural networks applied to the characterization of undetermined electrostatic force microscopy setups. VI Congreso Espanol de Fuerzas y Tunel, Segovia.
M. Gonzalez, D. Dominguez, F.B. Rodriguez. 2008. Block Activity in Metric Neural Networks. International Journal of Intelligent Technology 3 (1): 30-33.
M. Gonzalez, D. Dominguez, F.B. Rodriguez. 2008. Learning Block Memories with Metric Networks. International Journal of Intelligent Technology 3 (1): 34-37.
C. Muniz, R. Levi, F.B. Rodriguez, P. Varona. 2007. Pushing the envelope of real-time technology in neuroscience. XII Congreso de la Sociedad Espanola de Neurociencia, pp 46.
David Dominguez. 2007. Block information and topology in memory networks. In Cooperative Behavior in Neural Systems. AIP Conference Proceedings, vol. 887: 107-114.
R. Latorre, F.B. Rodriguez, P. Varona. 2007. Origin and role of neural signatures in bursting neurons. In Cooperative Behavior in Neural Systems. AIP Conference Proceedings, vol. 887: 51-60.
P. Varona. 2006. Neural Bursting Codes. Proceedings of Modeling the Brain's Labyrinth, Crete Anniversary Meeting of the EU Course in Computational Neuroscience. T-08: 25-26.
C. Muniz, S. Arganda, F.B. Rodriguez, G.G. de Polavieja, P. Varona. 2005. Advanced Dynamic-Clamp Software for the Stimulation of Excitable Cells. Society for Neuroscience Abs. 2005, 569.21.
R. Levi, P. Varona, Y.I. Arshavsky, M.I. Rabinovich, A.I. Selverston. 2004. Wing and tail motor coordination in the search behavior of Clione limacina and its relation to the statocyst activity. Society for Neuroscience Abs. 2004, 601.4.
C. Aguirre, P. Pascual, D. Campos, L. Vazquez. 2004. Chaotic Behavior of Small-World Communication Networks with Imperfect Transmission. LSS2004, The 10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems: Theory and Applications. Osaka, Japan. IFAC Publishing 2004.
R. Levi, P. Varona, Y.I. Arshavsky, M.I. Rabinovich, A.I. Selverston. 2004. Interaction of sensory and motor systems during searching motor program in the marine mollusk Clione limacina. 7th International Congress of Neuroethology. Nuyborg, Denmark. P0221.
M.I. Rabinovich, P. Varona, V.I. Afraimovich. 2003. Neurocomputation with separatrices. AIP Conference Proceedings, 7th Experimental Chaos Conference, San Diego (USA), Vol 676, issue 1: 239-250.
P. Varona, R. Levi, Y.I. Arshavsky, M.I. Rabinovich, A.I. Selverston. 2003. Dual role for a statocyst: as a sensory organ and as a part of the motor pattern generator. Society for Neuroscience Abs., Vol 29, 403.16 New Orleans (USA).
A. I. Selverston, M. Rabinovich, H. Abarbanel, A. Szucs, R. Huerta, P. Varona, R. Elson, R. Pinto, A. Volkovskii. Synchronization of CPG neurons studied with hybrid circuits. 10th Symposium on Invertebrate Neurobiology, Tihany (Hungary), 5 - 9 July, 2003.
M.I. Rabinovich, R. Levi, P. Varona, Y.I. Arshavsky, A.I. Selverston. 2003. Animal behaviour controlled through the dynamics of a sensory network. Sixth IBRO World Congress of Neuroscience, July 10-15, 2003 Prague, Czech Republic.
R. Levi, P. Varona, Y.I. Arshavsky, A.I. Selverston, M.I. Rabinovich. 2003. Generation of an irregular motor program by a sensory organ. Topical Problems of Nonlinear Wave Physics (NWP-2003), Nizhny Novgorod, Russia, 6-12 September 2003.
M.I. Rabinovich, P. Varona, VS. Afraimovich. Information dynamics in neural systems: computing with separatrices. Prikladnaya Nelineinaya Dinamika, vol.11, no.1, 2003, pp.86-97. Publisher: Izdatelstvo GozYNTS `Kolledzh', Russia.
R. Levi, P. Varona, M.I. Rabinovich, A.I. Selverston, Y.I. Arshavsky. 2002. Control of hunting behavior in the mollusk clione: winnerless competition between the statocyst receptor neurons. Society for Neuroscience Abs., Vol 28, Part 1, 60.1. Orlando (USA).
M.I. Rabinovich, P. Varona, V.I. Afraimovich. 2002. Neurocomputation with separatrices. Abstracts of the 7th Experimental Chaos Conference, San Diego (USA), p. 19.
P. Varona, C. Aguirre, M.I. Rabinovich, H.D.I.Abarbanel. 2001. Coexistence of rhythms in inferior olive networks under the action of stimuli. Society for Neuroscience Abs., Vol. 27, Part 1, 70.2. San Diego (USA).
M.I. Rabinovich, P. Varona, Y.I. Arshavsky, A.I. Selverston. 2001. Dynamical origin of the random-like hunting behavior of the marine mollusk Clione. Society for Neuroscience Abs., Vol. 27, Part 2, 943.13. San Diego (USA).
P. Varona, M.I. Rabinovich. Spatio-temporal patterns in inferior olive networks. 2001. Fifth SIAM Conference on Control and its applications. San Diego, USA. MS 31. Page 244.
P. Varona, H.D.I. Abarbanel. Electronic and Biological Neurons. Proceedings of the 19th Symposium for Energy Engineering Sciences, Argonne (Chicago) 2001.
M.I. Rabinovich, P. Varona, A. Volkovskii. Information dynamics: winner-less competition principle. Proceedings of the 19th Symposium for Energy Engineering Sciences, Argonne (Chicago) 2001.
Carlos Aguirre, Fernando Corbacho and Ramon Huerta. A Realistic substrate for small-world networls modelling. 2001. Proceedings of the International conference on Dynamical networks in Complex systems. European Physical Society. Vol 25 F 46, 2001.
Carlos Aguirre, Fernando Corbacho and Ramon Huerta . A Realistic substrate for small-world networls modelling. 2001. Proceedings of the 12 International Workshop on Database and Expert Systems applications. IEEE Computer society.
Selverston, Allen I., Mikhail I. Rabinovich, Atilla Szucs, Pablo Varona, Alexander Volkovskii, Robert Elson, H.D.I. Abarbanel. 2000. Artificial electronic neurons as probes for understanding small neural circuits in crustacea. Proceedeings of the Crustacean Society 2000 Summer-Meeting. In Modern Approaches to the Study of Crustacea. Eds. Escobar-Briones and Alvarez. Kluwer Academic/Plenum Publishers.
O. Herreras, P. Varona, L. Lopez-Aguado, J.M. Ibarz. 2000. Computer reproduction of in vivo CA1 population spikes along the somatodendritic axis: dendritic initiation versus backpropagation. Workshop on Dendrites. Columbia University, New York. Proceedings del Centro de Reuniones Internacionales sobre Biologia del Instituto Juan March. Vol. 111, pag. 66.
A. Szucs, R. D. Pinto, A.I. Selverston, P. Varona, M.I. Rabinovich, H. D .I. Abarbanel. 2000. Generation of oscillatory activity in small networks of interacting electronic and biological neurons. Society for Neuroscience Abs., Vol 26, Part 2, 748.6. New Orleans (USA).
J.M. Ibarz, P. Varona, L. Lopez, O. Herreras. 2000. Un Modelo Multineuronal de la Region CA1 Como Banco de Pruebas de Modelos Unitarios y de Medidas Experimentales. VIII Congreso de la Sociedad Espanola de Neurociencia. Murcia. Rev. Neurol. 2000, 30 (3):262.
M.I. Rabinovich, P. Varona, H.D.I. Abarbanel. Nonlinear Dynamics of Living Neurons. Proceedings of ``Global Dynamics, Complexity and Catastrophes''. In Science for survival and sustainable development. Pontifical Academy of Science, Vatican, 2000: 185-215. ISBN 88-7761-071-9.
Aguirre C.; Martinez-Munoz, J; Corbacho F.; Huerta R. Small-World Topology for multi-agent collaboration. Proceedings 11th International Workshop on Database and Expert Systems applications, London, IEEE Comput. Soc, p231-5 2000.
P. Varona, J.J. Torres, H.D.I. Abarbanel, V.I. Makarenko, R. Llinas, M.I. Rabinovich. 1999. Modeling Collective Oscillations in the Inferior Olive. Society for Neuroscience Abs., Vol. 25, Part 1, 668.8, 915. Miami (USA).
P. Varona, J.J. Torres, R. Huerta, H.D.I. Abarbanel, M.I. Rabinovich. 1999. Subcellular Mechanisms for the Regularization of Neural Bursting Activity. Proceedings 5th SIAM Conference on Applications of Dynamical Systems. Snowbird, Utah (USA), CP12, p. 58.
M.I. Rabinovich, J.J. Torres, Pablo Varona, R. Huerta, P. Weidman. 1999. Genesis of Coherent Structures in a Discrete Chaotic Neural Medium. Proceedings 5th SIAM Conference on Applications of Dynamical Systems. Snowbird, Utah (USA), CP01, p. 48.
J.J. Torres, P. Varona, R. Huerta, H.D.I. Abarbanel, M.I. Rabinovich. 1999. Spatial Clusters of Synchronization in Neural Networks of Chaotic Spiking-bursting Neurons. 1998 Conference on Computational Physics. Granada (Spain). Comp. Phys. Comm. Vol 121-122, p. 745 (1999).