A Re-configurable On-line Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses

A Re-configurable On-line Learning Spiking Neuromorphic Processor comprising 256 neurons and 128K synapses

Implementing compact, low-power artificial neural processing systems with real-time on-line learning abilities is still an open challenge. In this paper we present a full-custom mixed-signal VLSI device with neuromorphic learning circuits that emulate the biophysics of real spiking neurons and dyna...

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Bibliographic Details
Main Authors: Ning eQiao, Hesham eMostafa, Federico eCorradi, Marc eOsswald, Fabio eStefanini, Dora eSumislawska, Giacomo eIndiveri
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-04-01
Series:Frontiers in Neuroscience
Subjects:
Real-time
low-power
Autonomous Systems
Winner-take-all (WTA)
analog VLSI
asynchronous
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00141/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00141/full

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