[Neuroinfo] Tutorial at the CNS 2015 in Prague: Neural Mass and Neural Field Models

[Axel Hutt]

Announcement
------------ 

Tutorial "Neural Mass and Neural Field Models"

at the Computational Neuroscience Conference 2015 in Prague
(see http://www.cnsorg.org/cns-2015-tutorials#t1 for more details).

The brain exhibits dynamical processes on different spatial and temporal scales. 
Single neurons have a size of tens of micrometers and fire during few milliseconds, 
whereas macroscopic brain activity, such as encephalographic data or the BOLD 
response in functional Magnetic Resonance Imaging, evolve on a millimeter or centimeter 
scale during tens of milliseconds. To understand the relation between the two dynamical 
scales, the mesoscopic scale of neural populations between these scales is helpful. 
Moreover, it has been found experimentally that neural populations encode and decode 
cognitive functions. The tutorial presents a specific type of rate-coding models which 
is both mathematically tractable and verifiable experimentally. It starts with a 
physiological motivation of the model, followed by mathematical analysis techniques for 
neural mass models in the presence of noise, and applications to general anaesthesia 
and cognitive functions.


Program:

09:00 - 10:30 : Introduction to Neural Fields (Axel Hutt)

10:30 - 11:45 : Coffee break

10:45 - 12:15 : Nonlinear and Stochastic Analysis of Neural Fields Equations (Jeremie Lefebvre)

12:15 - 13:15 : Lunch Break

13:15 - 14:45 : Tutorial introduction to mean-field modelling of general anaesthesia (Alistair Steyn-Ross)

14:45 - 15:00 : Coffee Break

15:00 - 16:30 : Neural fields, a cognitive approach: attention, plasticity and decision (Nicolas Rougier) 

Room: RB 212, University of Economics, Prague (http://www.cnsorg.org/cns-2015-venue) 

Hope to see you there.


Axel




-- 

PD Axel Hutt
Directeur de Recherche
INRIA CR Nancy - Grand Est 
Equipe NEUROSYS (Head)
615, rue du Jardin Botanique
54603 Villers-les-Nancy Cedex
France
http://www.loria.fr/~huttaxel