An FPGA implementation of a polychronous spiking neural network with delay adaptation

An FPGA implementation of a polychronous spiking neural network with delay adaptation

We present an FPGA implementation of a re-configurable, polychronous spiking neural network with a large capacity for spatial-temporal patterns. The proposed neural network generates delay paths de novo, so that only connections that actually appear in the training patterns will be created. This all...

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Bibliographic Details
Main Authors: Runchun Mark Wang, Gregory eCohen, Klaus M. Stiefel, Tara Julia Hamilton, Jonathan Craig Tapson, André evan Schaik
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-02-01
Series:Frontiers in Neuroscience
Subjects:
neuromorphic engineering
spiking neurons
delay adaptation
polychronous spiking neural network
virtualisation
time multiplexing
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00014/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00014/full

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