Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective (2018)
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/tcsi.2017.2726763
Publication URI: http://dx.doi.org/10.1109/tcsi.2017.2726763
Type: Journal Article/Review
Parent Publication: IEEE Transactions on Circuits and Systems I: Regular Papers
Issue: 2