Robust working memory in an asynchronously spiking neural network realized in neuromorphic VLSI

Robust working memory in an asynchronously spiking neural network realized in neuromorphic VLSI

We demonstrate bistable attractor dynamics in a spiking neural network implemented with neuromorphic VLSI hardware. The on-chip network consists of three interacting populations (two excitatory, one inhibitory) of integrate-and-fire (LIF) neurons. One excitatory population is distinguished by strong...

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Bibliographic Details
Main Authors: Massimiliano eGiulioni, Patrick eCamilleri, Maurizio eMattia, Vittorio eDante, Jochen eBraun, Paolo eDel Giudice
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-02-01
Series:Frontiers in Neuroscience
Subjects:
working memory
attractor dynamics
spiking neurons
stochastic dynamics
neuromorphic chips
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00149/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2011.00149/full

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