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

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URI: http://hdl.handle.net/10498/31731

DOI: 10.1016/j.softx.2024.101696

ISSN: 2352-7110

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2024_Paper_SoftwareX_NesimRT_Release2.pdf (964.9Kb)
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Author/s
Quintana Velázquez, Fernando ManuelAuthority UCA; Torre Macías, Juan Carlos de laAuthority UCA; Barcena González, GuillermoAuthority UCA; Guerrero Lebrero, María de la PazAuthority UCA; Guerrero Vázquez, ElisaAuthority UCA
Date
2024-03
Department
Ingeniería Informática
Abstract
NESIM-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.
Subjects
Spiking neural network; Neuromorphic systems; Distributed computing; Synaptic plasticity
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  • Artículos Científicos [11595]
  • Articulos Científicos Ing. Inf. [299]
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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