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W19: Model-Driven Closed-Loop Technologies for Neuroscience Research
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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
