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Neural networks with small-world topology are optimal for encoding based on spatiotemporal patterns of spikes

Vertes, PE; Duke, T; (2009) Neural networks with small-world topology are optimal for encoding based on spatiotemporal patterns of spikes. BMC Neuroscience , 10 (SUPPL.) , Article O11. 10.1186/1471-2202-10-S1-O11. Green open access

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Type: Article
Title: Neural networks with small-world topology are optimal for encoding based on spatiotemporal patterns of spikes
Event: 18th Annual Computational Neuroscience Meeting
Location: Berlin, GERMANY
Dates: 2009-07-18 - 2009-07-23
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/1471-2202-10-S1-O11
Publisher version: http://dx.doi.org/10.1186/1471-2202-10-S1-O11
Language: English
Additional information: © 2009 Vertes et al; licensee BioMed Central Ltd.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/56780
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