Title
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture.
Abstract
Recent research has shown that a glial cell of astrocyte underpins a self-repair mechanism in the human brain, where spiking neurons provide direct and indirect feedbacks to presynaptic terminals. These feedbacks modulate the synaptic transmission probability of release (PR). When synaptic faults occur, the neuron becomes silent or near silent due to the low PR of synapses; whereby the PRs of rema...
Year
DOI
Venue
2018
10.1109/TNNLS.2017.2673021
IEEE Transactions on Neural Networks and Learning Systems
Keywords
Field
DocType
Hardware,Neurons,Computer architecture,Biological neural networks,Maintenance engineering,Calcium,Fault tolerance
Synapse,Neuroscience,Computer science,Artificial intelligence,Neuron,Spanner,Spiking neural network,Artificial neural network,Pattern recognition,Fault detection and isolation,Fault tolerance,Hardware architecture,Embedded system
Journal
Volume
Issue
ISSN
29
4
2162-237X
Citations 
PageRank 
References 
4
0.38
17
Authors
5
Name
Order
Citations
PageRank
Junxiu Liu112523.91
Jim Harkin232536.82
Liam P. Maguire351151.18
Liam Mcdaid427030.48
John J. Wade51028.91