Source Code for: Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learningdoi:10.26165/JUELICH-DATA/1T5D1ZJülich DATA2023-04-062Zajzon, Barna; Duarte, Barna; Morrison, Abigail, 2023, "Source Code for: Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning", https://doi.org/10.26165/JUELICH-DATA/1T5D1Z, Jülich DATA, V2Source Code for: Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learningdoi:10.26165/JUELICH-DATA/1T5D1Zdoi:10.5281/zenodo.6418714Zajzon, BarnaDuarte, BarnaMorrison, AbigailJülich DATADenker, MichaelReske, Martina2024-02-16Computer and Information ScienceMedicine, Health and Life SciencesPhysicsRelated publication: Barna Zajzon, Renato Duarte, Abigail Morrison, 2023. Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning. fnint.2023.935177; doi: https://doi.org/10.3389/fnint.2023.935177gpl v2https://github.com/INM-6/re_cone_21/10.3389/fnint.2023.935177Barna Zajzon, Renato Duarte, Abigail Morrison, 2023. Towards reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning.