Published April 6, 2022 | Version v1
Journal article Open

Source code for "Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning"

  • 1. Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
  • 2. Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, the Netherlands

Description

This is the source code accompanying the paper "Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning", published at http://https://doi.org/10.3389/fnint.2023.935177. There is also a public GitHub repository available at https://github.com/INM-6/re_cone_21.

For details on how to install and use the code, please see README.md and EXPERIMENTS.md.

Files

re_cone_21-zenodo-version-6418714.zip

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