1. Research interests
2. Publications
1. Papers in publications included in the ISI Journal Citation Reports
2. Book chapters
3. Papers in Spanish journals
4. Technical reports
5. Other publications (proceedings)
6. Papers in preparation or submitted
3. Related links

Research interests:

• Computational Neuroscience, Artificial Neural Networks,  Stochastic Neurons and Stochastic Models, Information Processing, Synchronization, Spatio-temporal Pattern Analysis,  and anything related to computation-physics-biology.

Publications: (if your insitution has no electronic subscription to the links below, please contact me for reprints)
 

• Papers in publications included in the ISI Journal Citation Reports:  (indexed in Current Contents and/or INSPEC)

• C. Miravet, F.B. Rodriguez. 2007. A two-step neural-network based algorithm for fast image super-resolution. Image and Vision Computing. In press.
  
• 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. In press.
  
• D. Dominguez, K. Koroutchev, E. Serrano, F.B. Rodriguez. 2007. Information and Toplogy in Attractor Neural Networks. Neural Computation. In press.
• R. Latorre, F.B. Rodriguez, P. Varona. 2007. Reaction to neural signatures through excitatory synapses in central pattern generator models. Neurocomputing. In press.
• R. Latorre, F.B. Rodriguez, P. Varona. 2006. Neural Signatures: Multiple Coding in Spiking Bursting Cells.  Biological Cybernetics 95(2): 169-183.
• C. Muñiz, S. Arganda, F.B. Rodríguez, G.G. de Polavieja, P. Varona. 2005. Realistic Stimulation Through Advanced Dynamic Clamp Protocols. Lect.Notes Comput. Sc. 3561: 95-105.
• C. Miravet and F.B. Rodríguez. 2005. Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations. Lect.Notes Comput. Sc. 3696: 499-505.
• Rodríguez F.B., Huerta R.2004. Analysis of perfect mappings of the stimuli through neural temporal sequences. Neural Netw. 17(7): 963-73.
• David R. C. Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco B. Rodríguez. 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. Rodríguez. 2004. Mutual Information and Topology 2: Symmetric Network. Lect.Notes Comput. Sc. 3173: 20-25.
• R. Latorre, F.B. Rodríguez, P. Varona. 2004. Effect of individual spiking activity on rhythm generation of Central Pattern Generators. Neurocomputing 58-60: 535-540.
  
• A. Tristán, F. de Borja Rodríguez, E. Serrano, P. Varona. 2004. Networks of Neurons that Emit and Recognize Signatures. Neurocomputing 58-60: 41-46.
• Carlos Miravet, Francisco B. Rodríguez. 2003. A Hybrid MLP-PNN Architecture for Fast Image Superrresolution. Lect.Notes Comput. Sc. 2714: 401-408.
• Nazareth P. Castellanos, Francisco B. Rodríguez, P. Varona. 2003. Stochastic Networks with Subthreshold Oscillations and Spiking Activity. Lect. Notes Comput. Sc. 2686: 32-39.
• R. Latorre, F.B.Rodríguez, P. Varona. 2002. Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis. LNCS 2415: 160-166.
• F.B.Rodríguez, R. Latorre, P. Varona. 2002. Characterization of Triphasic Rhythms in Central Pattern Generators (II): Information Analysis. LNCS 2415: 167-173.
• F.B.  Rodríguez, A. Suárez, V. López. ``A Discrete Model of Neural Ensembles''. Philosophical Transactions of The Royal Society:  Mathematical, Physical & Engineering Sciences, Vol 360(1792), pp 559-573, 2002.
• F.B.  Rodríguez, A. Suárez, V. López. ``Period Focusing Induced By Network Feedback in Populations of Noisy Integrate-and-Fire Neurons''. Neural Computation, Vol 13, pp 2495- 2516, 2001.
• F.B. Rodríguez, 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.
• F.B.  Rodríguez, R. Huerta, V. López. ``Global Dynamics of a Network of Stochastic Neurons Maximizes Local Mutual Information''.Network: Computation in Neural Systems. Vol 12, pp 33-46, 2001.
• F.B. Rodríguez, V. López. ``Periodic and Synchronic Firing in an Ensemble of Identical Stochastic Units: Structural Stability''. Lecture Notes in Computer Science  (Foundations and Tools for Neural Modelling), José Mira-Juan V. Sánchez Andrés (Eds.) Vol 1606, pp 367--376, Springer-Verlag, 1999. ISBN -540-66069-0.
• H.J. Kappen and F.B. Rodríguez. ``Efficient Learning in Boltzmann Machines Using Linear Response Theory''. Neural Computation, Vol 10, pp 1137-1156, MIT press, 1998.
•  H.J. Kappen and F.B. Rodríguez. ``Mean field approach to learning in Boltzmann Machines''.Pattern Recognition Letters, Vol 18, n 11-13, pp 1317-1322, November 1997.
•  H.J. Kappen and F.B. Rodríguez. ``Accelerated Learning in Boltzmann Machines Using Mean Field Theory''. Lecture Notes in Computer Science, Wulfram Gerstner-Alain Germond-Martin Hasler-Jean Daniel Nicoud (Eds.) Vol 1327, pp 301-306, Springer-Verlag, 1997. ISBN 3-540-63631-5.
• F.B. Rodríguez, V. López ``Stability and Hebbian Learning In Populations of Probabilistic Neurons''. Lecture Notes in Computer Science (Biological and Artificial Computation: From Neuroscience to Technology), José Mira-Roberto Moreno Díaz-Joan Cabestany (Eds.) Vol 1240, pp 433-442, Springer-Verlag, 1997. ISBN 3-540-63047-3.
• P.M. Hofman, F.B. Rodríguez, J.A. Sigüenza, V. López,  S. Carrillo-Menendez ``A Simple Probabilistic Neural Model Producing Multimodal ISHs''. Lecture Notes in Computer Science (From Natural to Artificial Neural Computation), José Mira-Francisco Sandoval (Eds.), Vol 930, pp 166-173,  Springer-Verlag, 1995 . ISBN 3-540-59497-3.

 

• Book chapters:

• Chapter 6 (Book of article selection: H.J. Kappen and F.B. Rodríguez. ``Efficient Learning in Boltzmann Machines Using Linear Response Theory''). Graphical Models, Foundations of Neural Computation, Edited by Michael I. Jordan and Terrence J. Sejnowski, MIT press, September 2001. ISBN 0-262-60042-02001.
• H.J. Kappen and F.B. Rodríguez. ``Boltzmann Machine learning using mean field theory and linear response  correction''. Advances in Neural Information Processing Systems 10, M.I. Jordan-M.J. Kearns-S.A. Solla (Eds.) pp 280-286, MIT Press: Cambridge MA, 1998. ISBN 0-262-10076-2.

• Papers in spanish journals:

• Díaz J., Cuezva F., Ibáñez C., Rodríguez F., Zaccagnini  J.L., de Pablo E. ``FORMIP: Herramienta para la formación de personal en control de procesos", ADIE Nº 8, Noviembre 1992, pp 50--58.

• Technical reports:

• Díaz J., Cuezva F., Ibáñez C., Rodríguez F., Zaccagnini  J.L., de Pablo E. ``FORMIP: An intelligent tool for training process control operators" REF.REVISTA/LIBRO: IIC 1992 (Technical Report A06/92).

• Other publications (conference papers, proceedings, abstracts, etc:

• 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.
• 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.
  
• Kostadin Koroutchev, Carlos Miravet, and Francisco B. Rodríguez.Super-resolution by Using Codebook.IADAT-micv2005, International Conference on Multimedia, Image Processing and Computer Vision.Madrid (SPAIN).March 30-April 1, 2005.
• C. Santa Cruz, F.B. Rodríguez, J.R. Dorronsoro, V. López. ``Non-linear Dynamical System Modeling and its Integration in Intelligent Control Systems''. Integration in Real-Time Intelligent Control Systems, pp 30-1--30-9, 1993  (Presentado en IRTICS'93).

• Grupo de Neurocomputación Biológica (GNB), EPS (UAM)
• Institute for Nonlinear Science, University of California, San Diego
• Department of Medical Physics and Biophysics, KUN, Nijmegen, Holand
• Computational Neuroscience on the World-Wide-Web
• ICANN 2002
• Neural Processing Lab at UAM