Dynamical Networks and Their Applications in Neuroscience
Organizer(s):
Yuri Maistrenko
Georgi Medvedev
Introduction:
One of the main challenges in the theory for dynamical networks
is how to translate the information about the dynamics of the local systems
and the information about the types and topology of the connections
between them into an effective description of the network dynamics.
Successful analysis of dynamical networks requires the compilation of
analytical and combinatorial approaches. The talks in this special session
review recent progress in the theory and applications of dynamical networks
with an emphasis on the problems in experimental and theoretical neuroscience.