[Comp-neuro] cosyne workshop on closed-loop stimulation

Christopher Rozell crozell at gatech.edu
Sun Feb 11 20:39:55 CET 2018

We would like to invite you to an upcoming COSYNE workshop that is very 
relevant for the computational neuroscience community!

Title: Closed-loop control of neural systems and circuits for scientific 

Tuesday, March 6, 2018

Christopher Rozell, Garrett Stanley

With the advent of new technologies for interfacing with neural systems, 
there are exciting opportunities emerging that enable us to manipulate 
neural systems and circuits while simultaneously monitoring their 
activity.  These new sensing and actuation strategies hold the promise 
of more powerful techniques for functionally dissecting complex neural 
circuits to uncover their operating principles and potentially develop 
novel clinical therapies.  With a common goal of neural control, a 
variety of researchers ranging from theorists to experimentalists are 
currently developing techniques for estimating system states from 
recorded data and making real-time updates to stimulation.

This topic is particularly timely because of the confluence of 
technological advances in recording, stimulation, and algorithms that 
enable closed-loop stimulation studies in circuits, and for increasing 
government and private support for research in these and related areas. 
  Such closed-loop techniques will enable an entirely new class of 
experimental manipulations that promise new insight into circuit 
function in health as well as disease.  Given that the first papers 
using closed-loop stimulation of neural circuits have only recently 
appeared in the literature and there is finally a critical mass of 
people working on these exciting problems, now is the perfect time to 
bring a community together around this emerging area.

The overarching goal of this workshop is to foster a discussion to 
illuminate a set of community research goals to accelerate the impact of 
closed-loop stimulation techniques in neuroscience.  This workshop will 
provide a venue for researchers building the components of these 
closed-loop stimulation systems and researchers using these tools for 
scientific discovery and clinical treatments. Specifically, the target 
audience includes neuroscience researchers who are using (or want to be 
using) closed-loop stimulation of neural circuits in scientific studies 
or treatment for disorders, computational neuroscientists developing the 
foundations for analysis and design of algorithms necessary for 
closed-loop control (include modeling and state estimation), and 
neuroengineering researchers building elements of experimental systems 
(interfaces, algorithms and hardware).

Morning session
8:00-8:15a	Introduction and opening remarks by organizers and 
representatives from BRAIN Initiative and IEEE Brain

8:15-8:40a	Maryam Shanechi, Dynamic modeling of brain network response 
to stimulation: a computational framework with binary-noise modulated 

8:40-9:05a		Memming Park, Myopic control of neural dynamics

9:05-9:35a		Coffee break

9:35-10:00a		Danielle Bassett, Perturbation and control of human brain 

10:00-10:25a	Hillel Adesnik, Precise control of neural ensemble activity 
with multiphoton holographic optogenetics

10:25-11:00a	Christopher Rozell & Garrett Stanley, Closed-loop 
optogenetic control in vivo: tracking dynamics and states

Afternoon session
4:30-4:55p	Jeanne Paz, Optogenetic Closed loop control of 
thalamocortical seizures in animal models of genetic and acquired epilepsies

4:55-5:20p	Sridevi Sarma, Suppressing seizures via closed-loop 
stimulation of the epileptogenic zone

5:20-5:50p		Coffee break

5:50-6:15p	ShiNung Ching, Controlling the Meaning of Spikes: Strategies 
for Extrinsic Manipulation of Neural Information Processing

6:15-6:40p	Chethan Pandarinath, LFADS: a deep learning method to infer 
latent states and dynamics from neural population activity

6:40-7:30		Panel discussion and concluding remarks

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