Output details
11 - Computer Science and Informatics
University of the West of England, Bristol
Article title
Evolution of plastic learning in spiking networks via memristive connections
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
-
Volume number
16
Issue number
5
First page of article
711
ISSN of journal
1089-778X
Year of publication
2012
Number of additional authors
4
Additional information
<24> Neural networks. Describes the first known use of memristors to achieve modulation in spiking neural networks, with a view to efficient hardware implementation in future.
Interdisciplinary
-
Cross-referral requested
-
Research group
1 - Unconventional Computing Group
Citation count
4
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-