Computational modeling with spiking neural networks
| aut.publication.place | Heidelberg | |
| aut.relation.chapternumber | 37 | |
| aut.relation.endpage | 646 | |
| aut.relation.pages | 22 | |
| aut.relation.startpage | 625 | |
| aut.researcher | Schliebs, Stefan | |
| dc.contributor.author | Schliebs, S | |
| dc.contributor.author | Kasabov, N | |
| dc.date.accessioned | 2014-03-21T00:41:14Z | |
| dc.date.available | 2014-03-21T00:41:14Z | |
| dc.date.copyright | 2014 | |
| dc.date.issued | 2014 | |
| dc.description.abstract | This chapter reviews recent developments in the area of spiking neural networks (SNN) and summarizes the main contributions to this research field. We give background information about the functioning of biological neurons, discuss the most important mathematical neural models along with neural encoding techniques, learning algorithms, and applications of spiking neurons. As a specific application, the functioning of the evolving spiking neural network (eSNN) classification method is presented in detail and the principles of numerous eSNN based applications are highlighted and discussed. | |
| dc.identifier.citation | Springer Handbook of Bio-/Neuroinformatics (2014), pp 625-646 | |
| dc.identifier.doi | 10.1007/978-3-642-30574-0 | |
| dc.identifier.isbn | 978-3-642-30573-3 | |
| dc.identifier.uri | https://hdl.handle.net/10292/6990 | |
| dc.publisher | Springer-Verlag Berlin | |
| dc.relation.uri | http://dx.doi.org/10.1007/978-3-642-30574-0_37 | |
| 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.title | Computational modeling with spiking neural networks | |
| dc.type | Chapter in Book | |
| pubs.elements-id | 149074 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies |