@misc{10498/31731,
year = {2024},
month = {3},
url = {http://hdl.handle.net/10498/31731},
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.},
organization = {This 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.},
keywords = {Spiking neural network},
keywords = {Neuromorphic systems},
keywords = {Distributed computing},
keywords = {Synaptic plasticity},
title = {Release 2.0—NESIM-RT: A real-time distributed spiking neural network simulator},
doi = {10.1016/j.softx.2024.101696},
author = {Quintana Velázquez, Fernando Manuel and Torre Macías, Juan Carlos de la and Barcena González, Guillermo and Guerrero Lebrero, María de la Paz and Guerrero Vázquez, Elisa},
}