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GENERAL COMMENTARY article

Front. Neuroinform.
Volume 18 - 2024 | doi: 10.3389/fninf.2024.1446620

Commentary: Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch

Provisionally accepted
Hans Ekkehard Plesser Hans Ekkehard Plesser 1,2,3*
  • 1 Norwegian University of Life Sciences, As, Norway
  • 2 äte Hamburger Kolleg Aachen: Cultures of Research, RWTH Aachen University, Aachen, Germany
  • 3 Center for Advanced Simulation and Analytics, Julich Research Center, Juelich, Germany

This article is a commentary on:

  1. Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch

    1. Read original article

The final, formatted version of the article will be published soon.

    Keywords: Spiking neural network (SNN), comparison, simulator, Efficient implementation, Exact integration

    Received: 10 Jun 2024; Accepted: 30 Sep 2024.

    Copyright: © 2024 Plesser. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.