Learning optimisation by high firing irregularity
dc.contributor.author | Cleanthous, A. | en |
dc.contributor.author | Christodoulou, Chris C. | en |
dc.creator | Cleanthous, A. | en |
dc.creator | Christodoulou, Chris C. | en |
dc.date.accessioned | 2019-11-13T10:39:24Z | |
dc.date.available | 2019-11-13T10:39:24Z | |
dc.date.issued | 2012 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53776 | |
dc.description.abstract | In a network of leaky integrate-and-fire (LIF) neurons, we investigate the functional role of irregular spiking at high rates. Irregular spiking is produced by either employing the partial somatic reset mechanism on every LIF neuron of the network or by using temporally correlated inputs. In both the benchmark problem of XOR (exclusive-OR) and in a general-sum game, it is shown that irrespective of the mechanism that is used to produce it, high firing irregularity enhances the learning capability of the spiking neural network trained with reward-modulated spike-timing-dependent plasticity. These results suggest that the brain may be utilising high firing irregularity for the purposes of learning optimisation. © 2011 Elsevier B.V. All rights reserved. | en |
dc.source | Brain research | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856617145&doi=10.1016%2fj.brainres.2011.07.025&partnerID=40&md5=bf60e5558a85aa239868e7ad5cb3833f | |
dc.subject | learning | en |
dc.subject | Humans | en |
dc.subject | priority journal | en |
dc.subject | Computational Biology | en |
dc.subject | conference paper | en |
dc.subject | Neural Networks (Computer) | en |
dc.subject | nerve cell | en |
dc.subject | Partial somatic reset | en |
dc.subject | Action Potentials | en |
dc.subject | Models, Neurological | en |
dc.subject | nerve cell plasticity | en |
dc.subject | Neuronal Plasticity | en |
dc.subject | High firing irregularity | en |
dc.subject | irregular spiking | en |
dc.subject | Leaky integrate and Fire neuron | en |
dc.subject | nervous system parameters | en |
dc.subject | neuromodulation | en |
dc.subject | reward | en |
dc.subject | Reward-modulated spike-timing-dependent plasticity | en |
dc.subject | Temporally correlated inputs | en |
dc.title | Learning optimisation by high firing irregularity | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.brainres.2011.07.025 | |
dc.description.volume | 1434 | |
dc.description.startingpage | 115 | |
dc.description.endingpage | 122 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :2</p> | en |
dc.source.abbreviation | Brain Res. | en |
dc.contributor.orcid | Christodoulou, Chris C. [0000-0001-9398-5256] | |
dc.gnosis.orcid | 0000-0001-9398-5256 |
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