Title
Stimulus-Driven Traveling Solutions in Continuum Neuronal Models with a General Smooth Firing Rate Function
Abstract
We examine the existence of traveling wave solutions for a continuum neuronal network modeled by integro-differential equations. First, we consider a scalar field model with a general smooth firing rate function and a spatiotemporally varying stimulus. We prove that a traveling front solution that is locked to the stimulus exists for a certain interval of stimulus speeds. Next, we include a slow adaptation equation and obtain a formula, which involves a certain adjoint solution, for the stimulus speeds that induce locked traveling pulse solutions. Further, we use singular perturbation analysis to characterize an approximation to the adjoint solution that we compare to a numerically computed adjoint. Numerical simulations are used to illustrate the traveling fronts and pulses that we study and to make comparisons with our analytically computed bounds for stimulus-locked wave behavior.
Year
DOI
Venue
2010
10.1137/090775737
SIAM JOURNAL ON APPLIED MATHEMATICS
Keywords
Field
DocType
waves,neuronal networks,integro-differential equations,neural field models
Mathematical optimization,Traveling wave,Mathematical analysis,Continuum (design consultancy),Singular perturbation analysis,Pulse (signal processing),Stimulus (physiology),Rate function,Scalar field,Mathematics
Journal
Volume
Issue
ISSN
70
8
0036-1399
Citations 
PageRank 
References 
10
0.66
6
Authors
3
Name
Order
Citations
PageRank
G Bard Ermentrout1292123.65
Jozsi Z. Jalics2100.66
Jonathan E. Rubin323531.34