Comparison of FORCE trained spiking and rate neural networks shows spiking networks learn slowly with noisy, cross-trial firing rates

• Thomas Robert Newton,

  Roles Conceptualization, Formal analysis, Investigation, Software, Visualization, Writing – original draft, Writing – review & editing

  Affiliations Department of Mathematics and Statistics, University of Calgary, Calgary, Canada, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada

  https://orcid.org/0000-0002-9877-6880

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• Wilten Nicola

  Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

  * E-mail: wilten.nicola@ucalgary.ca

  Affiliations Department of Mathematics and Statistics, University of Calgary, Calgary, Canada, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada, Department of Cell Biology and Anatomy, University of Calgary, Calgary, Canada

  https://orcid.org/0000-0002-8745-2899

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