Output details
11 - Computer Science and Informatics
University of Kent
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Output 0 of 0 in the submission
Article title
Delayed switching applied to memristor neural networks
Type
D - Journal article
Title of journal
Journal of Applied Physics
Article number
-
Volume number
111
Issue number
7
First page of article
07E317
ISSN of journal
00218979
Year of publication
2012
URL
-
Number of additional authors
6
Additional information
<01> One difficulty in building a computer that works in a way similar to the human brain is that it takes about the same silicon area to emulate a CMOS synapse as is needed to emulate a neuron. On average, each neuron is connected to other neurons through about 20,000 synapses. This paper demonstrates that the memristor provides a new way of implementing synapses, which narrows significantly the “four orders of magnitude” gap in silicon area required. This work is based on the “delayed switching effect” described in Output 1, and has received interest from the Learning Systems community.
Interdisciplinary
-
Cross-referral requested
-
Research group
F - Future Computing Group
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-