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Output details

11 - Computer Science and Informatics

University of the West of England, Bristol

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Output 24 of 55 in the submission

Article title

Evolution of plastic learning in spiking networks via memristive connections

Type

D - Journal article

DOI

10.1109/TEVC.2011.2170199

Title of journal

IEEE Transactions on Evolutionary Computation

Article number

Volume number

Issue number

First page of article

711

ISSN of journal

1089-778X

Year of publication

2012

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6151103

Number of additional authors

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

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract