Output details
11 - Computer Science and Informatics
University of Hertfordshire
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Output 0 of 0 in the submission
Article title
Clustering predicts memory performance in networks of spiking and non-spiking neurons
Type
D - Journal article
Title of journal
Frontiers in Computational Neuroscience
Article number
14
Volume number
5
Issue number
-
First page of article
-
ISSN of journal
1662-5188
Year of publication
2011
URL
-
Number of additional authors
5
Additional information
<24> This study shows that a purely static measure of network connectivity, which is easy to determine, can predict the dynamic performance of a sparsely connected associative memory. This works for both networks consisting of non-spiking neurons and for networks of simple spiking neurons. It has inspired a follow-on study with more realistic neuronal models in collaboration with the Ecole Normale Superieure Paris, and the development of simulation software.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
