[Comp-neuro] CNS'14 Workshop on large-scale brain structure and dynamics

Jorge Mejias jorge.f.mejias at gmail.com
Tue May 6 19:41:44 CEST 2014

Dear colleagues,

Please see the information below about an upcoming workshop in large-scale
brain modeling.



*** Workshop on large-scale brain structure and dynamics ***

CNS'14 workshop, Quebec City, Canada

Workshop date: Thursday, July 31st 2014

Organizers: Jorge F. Mejias and Xiao-Jing Wang

Tackling core Neuroscience problems such as memory, perception or attention
has been possible, up to now, by focusing on small brain areas where
simplified dynamics and connectivity patterns could be assumed, or by using
full brain imaging techniques which provide little information about the
dynamics of local microcircuits. With the development of novel imaging and
neuroanatomical techniques in the recent years, a more systematic study of
the brain at a full-size scale is getting close to reality. However, our
current understanding of the dynamics of large-scale brain networks,
constituted by a complex composite of different neural micro- and
mesocircuits, is very limited and requires a significant theoretical and
computational effort.

In this one-day workshop, recent theoretical and experimental advances on
the structure and dynamics of large-scale neural circuits will be
presented. Our main goal will be to foster interactions between
experimental, computational and theoretical neuroscientists interested in
the brain as a large-scale networked system.

Confirmed speakers:

- Chris Eliasmith (U. Waterloo)
- Henry Kennedy (INSERM, Lyon)
- Stefan Mihalas (Allen Institute, Seattle)
- Randy McIntosh (Baycrest Center, Toronto)
- Adrian Ponce (UPF, Barcelona)
- Rishidev Chaudhuri (CNS, NYU)
- Francis Song (CNS, NYU)

One or two slots might be available for researchers who would like to
present their work. Please contact the organizers if interested.

More information at: https://sites.google.com/site/cns14largescale/

Jorge F. Mejias, PhD
Postdoctoral Associate
Center for Neural Science
New York University, 10012 NY
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