A framework for plasticity implementation on the SpiNNaker neural architecture

A framework for plasticity implementation on the SpiNNaker neural architecture

Many of the precise biological mechanisms of synaptic plasticity remain elusive, but simulations of neural networks have greatly enhanced our understanding of how specific global functions arise from the massively parallel computation of neurons and local Hebbian or spike-timing dependent plasticity...

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Bibliographic Details
Main Authors: Francesco eGalluppi, Xavier eLagorce, Evangelos eStromatias, Michael ePfeiffer, Luis A Plana, Steve B Furber, Ryad Benjamin Benosman
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-01-01
Series:Frontiers in Neuroscience
Subjects:
Learning
plasticity
STDP
BCM
SpiNNaker
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00429/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2014.00429/full

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