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Release 2.0—NESIM-RT: A real-time distributed spiking neural network simulator

dc.contributor.authorQuintana Velázquez, Fernando Manuel 
dc.contributor.authorTorre Macías, Juan Carlos de la 
dc.contributor.authorBarcena González, Guillermo 
dc.contributor.authorGuerrero Lebrero, María de la Paz 
dc.contributor.authorGuerrero Vázquez, Elisa 
dc.contributor.otherIngeniería Informáticaes_ES
dc.date.accessioned2024-04-12T06:03:18Z
dc.date.available2024-04-12T06:03:18Z
dc.date.issued2024-03
dc.identifier.issn2352-7110
dc.identifier.urihttp://hdl.handle.net/10498/31731
dc.description.abstractNESIM-RT is a specialized tool designed for simulating neuromorphic systems. In this new release we extend its capabilities to include state-of-the art models like the AdexLIF and Izhikevich, and to incorporate dynamic synaptic mechanisms such as Spike-Timing Dependent Plasticity (STDP). With these new features, researchers can now observe in real-time how different parameters influence these models and learning rules, thereby gaining deeper insights into neuronal function and network dynamics.es_ES
dc.description.sponsorshipThis work was also supported by the project NEMOVISION from the Ministerio de Ciencia e Innovación, PID2019-109465RB-I00/ AEI/10.13039/501100011033 and by the Junta de Andalucía and ERDF (GENIUS –P18-2399), and ERDF (OPTIMALE – FEDER-UCA18-108393). It is also part of the project TED2021-131880B-I00, funded by MCIN/AEI/10.13039/501100011033 and the European Union ‘‘NextGenerationEU’’/PRTR.
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSpiking neural networkes_ES
dc.subjectNeuromorphic systemses_ES
dc.subjectDistributed computinges_ES
dc.subjectSynaptic plasticityes_ES
dc.titleRelease 2.0—NESIM-RT: A real-time distributed spiking neural network simulatores_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.softx.2024.101696
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-109465RB-I00/ES/SISTEMAS NEUROMORFICOS PARA VISION ARTIFICIAL/ 
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Andalucía//GENIUS–P18-2399
dc.relation.projectIDinfo:eu-repo/grantAgreement/Junta de Andalucía//OPTIMALE–FEDER-UCA18-108393
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//TED2021-131880B-I00
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional