Richert/Heterogeneous_SNNs: v1.0.0: Scripts to replicate the results of Gast et al. PNAS 2024

By Richard Gast, PhD
View Published Code

Output Details

Description
This release includes configuration files and scripts to replicate the main results presented in Gast et al. PNAS 2024, including Python scripts for the simulation, bifurcation analysis, and training of networks of Izhikevich neurons with heterogeneous spike thresholds.
Identifier (DOI)
10.5281/zenodo.10420635
Tags
  • Analysis
  • Bioinformatics
  • Compute
  • Computer modeling
  • Multiscale modeling
Team
Team Surmeier
Program
Collaborative Research Network
Theme
Circuitry and Brain-Body Interactions

Meet the Authors

  • Richard Gast, PhD

    Key Personnel: Team Surmeier, 

    Northwestern University

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