Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks (2017)

First Author: Karim S
Attributed to:  Self-repairing hardware paradigms based on astrocyte-neuron models funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/isvlsi.2017.80

Publication URI: http://dx.doi.org/10.1109/isvlsi.2017.80

Type: Conference/Paper/Proceeding/Abstract

ISSN: 21593477 21593469