Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems

Restricted Boltzmann Machines (RBMs) and Deep Belief Networks have been demonstrated to perform efficiently in variety of applications, such as dimensionality reduction, feature learning, and classification. Their implementation on neuromorphic hardware platforms emulating large-scale networks of s...

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Bibliographic Details
Main Authors: Emre eNeftci, Srinjoy eDas, Bruno ePedroni, Kenneth eKreutz-Delgado, Gert eCauwenberghs
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-01-01
Series:Frontiers in Neuroscience
Subjects:
synaptic plasticity
recurrent neural network
Generative Model
Markov chain Monte Carlo
Neuromorphic Cognition
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00272/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00272/full

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