Evaluating performance of neural codes in model neural communication networks

Antonopoulos, Chris G.; Martinez, Ezequiel B; Baptista, M. S.

Evaluating performance of neural codes in model neural communication networks

dc.contributor.author	Antonopoulos, Chris G.
dc.contributor.author	Martinez, Ezequiel B
dc.contributor.author	Baptista, M. S.
dc.contributor.institution	University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)	en
dc.contributor.institution	University of Aberdeen.Physics	en
dc.contributor.institution	University of Aberdeen.Centre for Energy Transition	en
dc.date.accessioned	2019-10-22T23:05:15Z
dc.date.available	2019-10-22T23:05:15Z
dc.date.embargoedUntil	2019-10-23
dc.date.issued	2019-01
dc.description	This work was performed using the Maxwell high performance and ICSMB computer clusters of the University of Aberdeen. All authors acknowledge financial support provided by the EPSRC Ref: EP/I032606/1 grant. C. G. A. contributed to this work while working at the University of Aberdeen and then, while working at the University of Essex.	en
dc.description.status	Peer reviewed	en
dc.format.extent	13
dc.format.extent	2393310
dc.identifier	139725373
dc.identifier	fab9683d-d665-4fb3-8eec-bd6bdd666bb2
dc.identifier	85055987916
dc.identifier.citation	Antonopoulos, C G, Martinez, E B & Baptista, M S 2019, 'Evaluating performance of neural codes in model neural communication networks', Neural Networks, vol. 109, pp. 90-102. https://doi.org/10.1016/j.neunet.2018.10.008	en
dc.identifier.doi	10.1016/j.neunet.2018.10.008
dc.identifier.issn	0893-6080
dc.identifier.other	Mendeley: 25a469d1-a44a-380e-92e5-c26dd458d09c
dc.identifier.uri	https://hdl.handle.net/2164/13151
dc.identifier.url	http://www.mendeley.com/research/evaluating-performance-neural-codes-model-neural-communication-networks	en
dc.identifier.vol	109	en
dc.language.iso	eng
dc.relation.ispartof	Neural Networks	en
dc.subject	information	en
dc.subject	mutual information	en
dc.subject	Mutual Information Rate	en
dc.subject	neuroscience	en
dc.subject	brain	en
dc.subject	neurons	en
dc.subject	external stimuli	en
dc.subject	neural codes	en
dc.subject	Hindmarsh-Rose system	en
dc.subject	neural networks	en
dc.subject	interspike-intervals code	en
dc.subject	firing-rate code	en
dc.subject	QC Physics	en
dc.subject	Engineering and Physical Sciences Research Council (EPSRC)	en
dc.subject	EP/I032606/1	en
dc.subject.lcc	QC	en
dc.title	Evaluating performance of neural codes in model neural communication networks	en
dc.type	Journal article	en

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