Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate

Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate

Reliable propagation of slow-modulations of the firing rate across multiple layers of a feedforward network (FFN) has proven difficult to capture in spiking neural models. In this paper, we explore necessary conditions for reliable and stable propagation of time-varying asynchronous spikes whose ins...

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Bibliographic Details
Main Authors: Navid Hasanzadeh, Mohammadreza Rezaei, Sayan Faraz, Milos R. Popovic, Milad Lankarany
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Computational Neuroscience
Subjects:
time-varying rate coding
information propagation
feed-forward neural network
noise
network size
synaptic delays
Online Access:https://www.frontiersin.org/article/10.3389/fncom.2020.00064/full

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