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Output details

11 - Computer Science and Informatics

University of Hertfordshire

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Output 29 of 109 in the submission

Article title

Clustering predicts memory performance in networks of spiking and non-spiking neurons

Type

D - Journal article

DOI

10.3389/fncom.2011.00014

Title of journal

Frontiers in Computational Neuroscience

Article number

Volume number

Issue number

First page of article

ISSN of journal

1662-5188

Year of publication

2011

URL

Number of additional authors

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

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract