Show simple item record

dc.contributor.authorHauptvogel, Michael
dc.contributor.authorMadrenas Boadas, Jordi
dc.contributor.authorMoreno Aróstegui, Juan Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2010-10-21T10:41:10Z
dc.date.available2010-10-21T10:41:10Z
dc.date.created2009
dc.date.issued2009
dc.identifier.citationHauptvogel, M.; Madrenas, J.; Moreno, J. SpiNDeK: An integrated design tool for the multiprocessor emulation of complex bioinspired spiking neural networks. A: IEEE Congress on Evolutionary Computation. "2009 IEEE Congress on Evolutionary Computation". Trondheim: IEEE Computer Society Publications, 2009, p. 142-148.
dc.identifier.isbn978-1-4244-2959-2
dc.identifier.urihttp://hdl.handle.net/2117/9894
dc.description.abstractSpiNDeK (Spiking Neural Network Design Kit) is an integrated design tool intended to support the development of emulation of complex bioinspired neural networks. In this work, the most relevant aspects of the tool are reported, regarding the generation of connections as well as synapse and neuron parameters of spiking neural networks as well as the automated code generation and simulation, ready to be executed by an ad-hoc parallel architecture. The tool is fully functional and has demonstrated its usefulness.
dc.format.extent7 p.
dc.language.isoeng
dc.publisherIEEE Computer Society Publications
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica
dc.subject.lcshElectronics
dc.subject.lcshNeural network modeling and connectionism
dc.titleSpiNDeK: An integrated design tool for the multiprocessor emulation of complex bioinspired spiking neural networks
dc.typeConference report
dc.subject.lemacElectrònica
dc.contributor.groupUniversitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac2358813
dc.description.versionPostprint (published version)
local.citation.authorHauptvogel, M.; Madrenas, J.; Moreno, J.
local.citation.contributorIEEE Congress on Evolutionary Computation
local.citation.pubplaceTrondheim
local.citation.publicationName2009 IEEE Congress on Evolutionary Computation
local.citation.startingPage142
local.citation.endingPage148


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder