Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning

Embedded, continual learning for autonomous and adaptive behavior is a key application of neuromorphic hardware. However, neuromorphic implementations of embedded learning at large scales that are both flexible and efficient have been hindered by a lack of a suitable algorithmic framework. As a resu...

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Bibliographic Details
Main Authors: Georgios Detorakis, Sadique Sheik, Charles Augustine, Somnath Paul, Bruno U. Pedroni, Nikil Dutt, Jeffrey Krichmar, Gert Cauwenberghs, Emre Neftci
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Neuroscience
Subjects:
Neuromorphic computing
neuromorphic algorithms
three-factor learning
on-line learning
event-based computing
spiking neural networks
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2018.00583/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2018.00583/full

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