Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights

Obtaining Arbitrary Prescribed Mean Field Dynamics for Recurrently Coupled Networks of Type-I Spiking Neurons with Analytically Determined Weights

A fundamental question in computational neuroscience is how to connect a network of spiking neurons to produce desired macroscopic or mean field dynamics. One possible approach is through the Neural Engineering Framework (NEF). The NEF approach requires quantities called decoders which are solved...

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Bibliographic Details
Main Authors: Wilten eNicola, Bryan eTripp, Matthew eScott
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Computational Neuroscience
Subjects:
integrate-and-fire neurons
mean field analysis
neural engineering framework
Neuronal heterogeneity
synaptic weights
Recurrently Coupled Networks
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00015/full

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http://journal.frontiersin.org/Journal/10.3389/fncom.2016.00015/full

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