A Markov model for the temporal dynamics of balanced random networks of finite size

The balanced state of recurrent networks of excitatory and inhibitory spiking neurons is characterized by fluctuations of population activity about an attractive fixed point. Numerical simulations show that these dynamics are essentially nonlinear, and that the intrinsic noise (self-generated fluctu...

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Bibliographic Details
Main Authors: Fereshteh eLagzi, Stefan eRotter
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-12-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00142/full