Evolving spiking neural network - a survey
| aut.relation.endpage | 98 | |
| aut.relation.issue | 2 | |
| aut.relation.startpage | 87 | |
| aut.relation.volume | 4 | |
| aut.researcher | Kasabov, Nikola | |
| dc.contributor.author | Schliebs, S | |
| dc.contributor.author | Kasabov, N | |
| dc.date.accessioned | 2014-03-21T00:49:17Z | |
| dc.date.available | 2014-03-21T00:49:17Z | |
| dc.date.copyright | 2013 | |
| dc.date.issued | 2013 | |
| dc.description.abstract | This paper provides a comprehensive literature survey on the evolving Spiking Neural Network (eSNN) architecture since its introduction in 2006 as a further extension of the ECoS paradigm introduced by Kasabov in 1998. We summarize the functioning of the method, discuss several of its extensions and present a number of applications in which the eSNN method was employed. We focus especially on some proposed extensions that allow the processing of spatio-temporal data and for feature and parameter optimisation of eSNN models to achieve better accuracy on classification/prediction problems and to facilitate new knowledge discovery. Finally, some open problems are discussed and future directions highlighted. | |
| dc.identifier.citation | Evolving Systems, vol.4(2), pp.87 - 98 | |
| dc.identifier.doi | 10.1007/s12530-013-9074-9 | |
| dc.identifier.issn | 1868-6478 | |
| dc.identifier.issn | 1868-6486 | |
| dc.identifier.uri | https://hdl.handle.net/10292/7003 | |
| dc.publisher | Springer | |
| dc.relation.uri | http://dx.doi.org/10.1007/s12530-013-9074-9 | |
| dc.rights | An author may self-archive an author-created version of his/her article on his/her own website and or in his/her institutional repository. He/she may also deposit this version on his/her funder’s or funder’s designated repository at the funder’s request or as a result of a legal obligation, provided it is not made publicly available until 12 months after official publication. He/ she may not use the publisher's PDF version, which is posted on www.springerlink.com, for the purpose of self-archiving or deposit. Furthermore, the author may only post his/her version provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at www.springerlink.com”. (Please also see Publisher’s Version and Citation). | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Evolving spiking neural network | |
| dc.subject | Evolving connectionist systems | |
| dc.subject | Spatio-temporal pattern recognition | |
| dc.title | Evolving spiking neural network - a survey | |
| dc.type | Journal Article | |
| pubs.elements-id | 148225 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies |