dc.creator | Serrano Gotarredona, María Teresa | es |
dc.creator | Linares Barranco, Bernabé | es |
dc.date.accessioned | 2018-06-15T14:20:29Z | |
dc.date.available | 2018-06-15T14:20:29Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | Serrano Gotarredona, M.T. y Linares Barranco, B. (2003). Log-domain implementation of complex dynamics reaction-diffusion neural networks. IEEE Transactions on Neural Networks, 14 (5), 1337-1355. | |
dc.identifier.issn | 1045-9227 | es |
dc.identifier.issn | 1941-0093 | es |
dc.identifier.uri | https://hdl.handle.net/11441/76268 | |
dc.description.abstract | In this paper, we have identified a second-order reaction-diffusion differential equation able to reproduce through parameter setting different complex spatio-temporal behaviors. We have designed a log-domain hardware that implements the spatially discretized version of the selected reaction-diffusion equation. The logarithmic compression of the state variables allows several decades of variation of these state variables within subthreshold operation of the MOS transistors. Furthermore, as all the equation parameters are implemented as currents, they can be adjusted several decades. As a demonstrator, we have designed a chip containing a linear array of ten second-order dynamics coupled cells. Using this hardware, we have experimentally reproduced two complex spatio-temporal phenomena: the propagation of travelling waves and of trigger waves, as well as isolated oscillatory cells. | es |
dc.description.sponsorship | Gobierno de España TIC1999-0446-C02-02 | es |
dc.description.sponsorship | Office of Naval Research (USA) | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers | es |
dc.relation.ispartof | IEEE Transactions on Neural Networks, 14 (5), 1337-1355. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Analog circuit design | es |
dc.subject | Analog very large scale integration (VLSI) | es |
dc.subject | Current mode | es |
dc.subject | Logdomain | es |
dc.subject | Neural networks | es |
dc.subject | Nonlinear circuits | es |
dc.subject | Piecewise-linear circuit | es |
dc.subject | Subthreshold | es |
dc.subject | Weak inversion | es |
dc.title | Log-domain implementation of complex dynamics reaction-diffusion neural networks | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | TIC1999-0446-C02-02 | es |
dc.relation.publisherversion | http://dx.doi.org/10.1109/TNN.2003.816374 | es |
dc.identifier.doi | 10.1109/TNN.2003.816374 | es |
idus.format.extent | 19 p. | es |
dc.journaltitle | IEEE Transactions on Neural Networks | es |
dc.publication.volumen | 14 | es |
dc.publication.issue | 5 | es |
dc.publication.initialPage | 1337 | es |
dc.publication.endPage | 1355 | es |
dc.contributor.funder | Gobierno de España | |
dc.contributor.funder | Office of Naval Research (ONR). United States | |