Bifurcations of lurching waves in a thalamic neuronal network

We consider a two-layer, one-dimensional lattice of neurons; one layer consists of excitatory thalamocortical neurons, while the other is comprised of inhibitory reticular thalamic neurons. Such networks are known to support "lurching" waves, for which propagation does not appear smooth, b...

Full description

Bibliographic Details
Main Authors: Wasylenko, Thomas Michael (Contributor), Cisternas, Jaime E. (Author), Laing, Carlo R. (Author), Kevrekidis, Ioannis G. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor)
Format: Article
Language:English
Published: Springer Science + Business Media B.V., 2011-10-12T14:28:45Z.
Subjects:
Online Access:Get fulltext
LEADER 01926 am a22002533u 4500
001 66216
042 |a dc 
100 1 0 |a Wasylenko, Thomas Michael  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Chemical Engineering  |e contributor 
100 1 0 |a Wasylenko, Thomas Michael  |e contributor 
100 1 0 |a Wasylenko, Thomas Michael  |e contributor 
700 1 0 |a Cisternas, Jaime E.  |e author 
700 1 0 |a Laing, Carlo R.  |e author 
700 1 0 |a Kevrekidis, Ioannis G.  |e author 
245 0 0 |a Bifurcations of lurching waves in a thalamic neuronal network 
260 |b Springer Science + Business Media B.V.,   |c 2011-10-12T14:28:45Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/66216 
520 |a We consider a two-layer, one-dimensional lattice of neurons; one layer consists of excitatory thalamocortical neurons, while the other is comprised of inhibitory reticular thalamic neurons. Such networks are known to support "lurching" waves, for which propagation does not appear smooth, but rather progresses in a saltatory fashion; these waves can be characterized by different spatial widths (different numbers of neurons active at the same time). We show that these lurching waves are fixed points of appropriately defined Poincaré maps, and follow these fixed points as parameters are varied. In this way, we are able to explain observed transitions in behavior, and, in particular, to show how branches with different spatial widths are linked with each other. Our computer-assisted analysis is quite general and could be applied to other spatially extended systems which exhibit this non-trivial form of wave propagation. 
520 |a Universidad de los Andes (Bogotá, Colombia) (Grant (Project FAI ING-002-09)) 
520 |a United States. Dept. of Energy 
520 |a United States. Air Force Office of Scientific Research 
546 |a en_US 
655 7 |a Article 
773 |t Biological Cybernetics