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

ABSTRACT: 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 result, most neuromorphic hardware are trained off-line on large clusters of dedicated processors or GPUs and transferred post hoc to the device. We address this by introducing the neural and synaptic array transceiver (NSAT), a neuromorphic computational framework facilitating flexible and efficient embedded learning by matching algorithmic requirements and neural and synaptic dynamics. NSAT supports event-driven supervised, unsupervised and reinforcement learning algorithms including deep l

SUBMITTER: Detorakis G 

PROVIDER: S-EPMC6123384 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature