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W19: Model-Driven Closed-Loop Technologies for Neuroscience Research
CNS 2019 Workhop, Barcelona July 16-17th, 2019
Location: University of Barcelona

Organizers: Pablo Varona and Thomas Nowotny

Experimental neuroscience research faces the fundamental problem that the nervous system is only partially observable. Neural information processing occurs on many different interacting spatial and temporal scales and this is not fully reflected in the time series of a single  or a few recording modalities. Moreover, spatial and temporal resolution and coverage are not the only aspects that limit insights into the information dynamics in the nervous system. Most experimental protocols in neuroscience research are based on recordings of spontaneous activity or on classical stimulus-response paradigms, where the nervous system under observation is stimulated and the response is then analyzed offline. Temporal aspects of input signals are often investigated by delivering stimuli prepared a priori, with a pre-determined temporal structure. However, neural activity is mostly transient and nonstationary and hence the associated information processing is history-dependent, contextual and involves sequential activations in feedback computations, which adds to the inherent observation intricacy.

In this context, closed-loop technologies allow designing novel experimental protocols to address the nature of partial observations in experimental neuroscience research. In addition, closed-loop methodologies can be used to deal with the transient nature of neural activity by exploring neural dynamics through online interaction. They allow to build more accurate models and bridge between disparate levels of analysis, including the study of the interplay between different spatial and temporal scales in neural computation, even when addressing just a single observation modality.

In this workshop we address the current state-of-the-art of closed-loop approaches in neuroscience and, in particular, the use of models to drive such interactions: from in vitro protocols all the way-up to behavioral and human closed-loop fMRI and neurorehabilitation protocols. The discussion will touch upon the important fact that these protocols are not easy to design and implement and that novel theoretical and technical approaches are needed.

This workshop is intended to gather researchers from computational and experimental neuroscience who are currently working on the theoretical design and practical implementation of closed-loop schemes for neuroscience research. We also target the computational neuroscience community more widely, who seek ways to constrain their models’ parameter spaces, while sustaitaining a wide reproducibility of dynamics as revealed by closed-loop interactions.

Model-Driven Closed-Loop Technologies for Neuroscience Research Workshop Program
The program consists of two half-day sessions on July 16th and 17th  (click to download the program in pdf)

Tuesday, July 16th morning session (Room S4):

09:30-09:40 Welcoming words
09:40-10:20 Mel Slater (Universitat de Barcelona, Spain): Virtual reality in closed-loop learning.
10:20-11:00 Daniele Linaro (Leuven Center for Brain & Disease Research, Belgium): Real-time closed-loop electrophysiology to investigate correlation transfer in cortical neurons.
11:00-11:30 Coffee break
11:30-12:10 Attila Szücs (Eotvos Lorand University, Budapest, Hungary & University of California San Diego, USA): Differential and frequency-dependent regulation of intrinsic excitability by voltage-dependent membrane currents.
12:10-12:50 Pablo Varona (Universidad Autónoma de Madrid, Spain): On the need for multiscale Closed-Loops in Neuronscience Research.
12:50-13:10 Software demos

Wednessday, July 17th afternoon session (Room B1):
14:50-15:25 José L. Pons (Shirley Ryan AbilityLab & Northwestern University, USA): Closed-loop neurorehabilitation.
15:25-16:00 Paul Pfeiffer (Humboldt-Universität zu Berlin, Germany): Capacitance Clamp.
16:00-16:25 Coffee break
16:25-17:00 Adam Ponzi (IBM TJ Watson Research Center, USA and Institute of Biology, Otto-von-Guericke University, Germany): Fitting a Striatal Network Model to Single Unit Spiking Data for Early Intervention in Huntington's Disease.
17:00-17:35 Maxym Myroshnychenko (Gordon Lab, NIH/NINDS, USA): Closed-loop sinusoidal stimulation of ventral hippocampal terminals in prefrontal cortex preferentially entrains circuit activity at distinct frequencies and delays.
17:35-18:10 Thomas Nowotny (University of Sussex, UK): Closed-loop electrophysiology for single cell investigations.
18:10-18:30 Concluding remarks and discussion

CNS 2019 Registration page
Back to CNS 2019 Barcelona webpage