dc.creator | Gupta, Shriya T.P | es |
dc.creator | Linares Serrano, Pablo | es |
dc.creator | Sen Bhattacharya, Basabdatta | es |
dc.creator | Serrano Gotarredona, María Teresa | es |
dc.date.accessioned | 2024-02-15T09:51:22Z | |
dc.date.available | 2024-02-15T09:51:22Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Gupta, S.T.P., Linares Serrano, P., Sen Bhattacharya, B. y Serrano Gotarredona, T. (2021). Foveal-pit inspired filtering of DVS spike response. En 55th Annual Conference on Information Sciences and Systems, CISS 2021 (168475), Baltimore, 24 - 26 Marzo: Institute of Electrical and Electronics Engineers Inc. (IEEE). | |
dc.identifier.isbn | 978-166541268-1 | es |
dc.identifier.uri | https://hdl.handle.net/11441/155259 | |
dc.description.abstract | In this paper, we present results of processing
Dynamic Vision Sensor (DVS) recordings of visual patterns with a
retinal model based on foveal-pit inspired Difference of Gaussian
(DoG) filters. A DVS sensor was stimulated with varying number
of vertical white and black bars of different spatial frequencies
moving horizontally at a constant velocity. The output spikes
generated by the DVS sensor were applied as input to a set of
DoG filters inspired by the receptive field structure of the primate
visual pathway. In particular, these filters mimic the receptive
fields of the midget and parasol ganglion cells (spiking neurons
of the retina) that sub-serve the photo-receptors of the foveal-
pit. The features extracted with the foveal-pit model are used
for further classification using a spiking convolutional neural
network trained with a backpropagation variant adapted for
spiking neural networks. | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación (MICIN). España PID2019-105556GB-C31 | es |
dc.description.sponsorship | Consejo Superior de Investigaciones Científicas (CSIC) 2018-50E008 AVE project | es |
dc.description.sponsorship | Science and Engineering Research Board CRG/2019/003534 | es |
dc.format | application/pdf | es |
dc.format.extent | 6 p. | es |
dc.language.iso | eng | es |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. (IEEE) | es |
dc.relation.ispartof | 55th Annual Conference on Information Sciences and Systems, CISS 2021 (2021), pp. 168475. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Dynamic vision sensor | es |
dc.subject | Neural filtering | es |
dc.subject | Spiking neural network | es |
dc.subject | Classification | es |
dc.subject | Difference of gaussian | es |
dc.subject | Convolution | es |
dc.subject | Foveal-pit | es |
dc.title | Foveal-pit inspired filtering of DVS spike response | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | 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 | PCI2019-111826-2 | es |
dc.relation.projectID | CRG/2019/003534 | es |
dc.relation.projectID | PID2019-105556GB-C31 | es |
dc.relation.projectID | 2018-50E008 AVE project | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9400245 | es |
dc.identifier.doi | 10.1109/CISS50987.2021.9400245 | es |
dc.publication.initialPage | 168475 | es |
dc.eventtitle | 55th Annual Conference on Information Sciences and Systems, CISS 2021 | es |
dc.eventinstitution | Baltimore, 24 - 26 Marzo | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |
dc.contributor.funder | Consejo Superior de Investigaciones Científicas (CSIC) | es |
dc.contributor.funder | Science and Engineering Research Board | es |
dc.contributor.funder | Comisión Europea | es |