Publication: Correlation Encoding of Input Data for Solving a Classification Task by a Spiking Neural Network with Spike-Timing-Dependent Plasticity
| dc.contributor.author | Serenko, A. | |
| dc.contributor.author | Rybka, R. | |
| dc.contributor.author | Sboev, A. | |
| dc.contributor.author | Сбоев, Александр Георгиевич | |
| dc.date.accessioned | 2024-12-26T10:56:04Z | |
| dc.date.available | 2024-12-26T10:56:04Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.We propose a new approach for encoding input data into spike sequences presented to the spiking neural network in a classification task: an input vector is represented by mutual correlations of input spike sequences. The accuracy obtained on the benchmark classification tasks of Fisher’s Iris and Wisconsin breast cancer is comparable to the results of other existing approaches to spiking neural network learning on base of Spike-Timing-Dependent Plasticity. | |
| dc.format.extent | С. 457-462 | |
| dc.identifier.citation | Serenko, A. Correlation Encoding of Input Data for Solving a Classification Task by a Spiking Neural Network with Spike-Timing-Dependent Plasticity / Serenko, A., Rybka, R., Sboev, A. // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 457-462. - 10.1007/978-3-030-96993-6_50 | |
| dc.identifier.doi | 10.1007/978-3-030-96993-6_50 | |
| dc.identifier.uri | https://www.doi.org/10.1007/978-3-030-96993-6_50 | |
| dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85127619111&origin=resultslist | |
| dc.identifier.uri | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200050 | |
| dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/28972 | |
| dc.relation.ispartof | Studies in Computational Intelligence | |
| dc.title | Correlation Encoding of Input Data for Solving a Classification Task by a Spiking Neural Network with Spike-Timing-Dependent Plasticity | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| oaire.citation.volume | 1032 SCI | |
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