RT journal article
T1 Release 2.0—NESIM-RT: A real-time distributed spiking neural network simulator
A1 Quintana Velázquez, Fernando Manuel
A1 Torre Macías, Juan Carlos de la
A1 Barcena González, Guillermo
A1 Guerrero Lebrero, María de la Paz
A1 Guerrero Vázquez, Elisa
A2 Ingeniería Informática
K1 Spiking neural network
K1 Neuromorphic systems
K1 Distributed computing
K1 Synaptic plasticity
AB 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.
SN 2352-7110
YR 2024
FD 2024-03
LK http://hdl.handle.net/10498/31731
UL http://hdl.handle.net/10498/31731
LA eng
NO This work was also supported by the project NEMOVISION from the Ministerio de Ciencia e Innovación, PID2019-109465RB-I00/ AEI/10.13039/501100011033and 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.
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026