Neural fields with sigmoidal firing rates: approximate solutions

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Neural fields with sigmoidal firing rates: approximate solutions

Many tissue level models of neural networks are written in the language of nonlinear integro-differential equations. Analytical solutions have only been obtained for the special case that the nonlinearity is a Heaviside function. Thus the pursuit of even approximate solutions to such models is of...

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Bibliographic Details
Main Authors:	Coombes, Stephen, Schmidt, Helmut
Format:	Article
Published:	American Institute of Mathematical Sciences 2010
Subjects:	integro-differential equations neural field models sigmoidal firing rate approximation theory
Online Access:	https://eprints.nottingham.ac.uk/1233/

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