Trained recurrent neural networks develop phase-locked limit cycles in a working memory task

• Matthijs Pals ,

  Roles Conceptualization, Formal analysis, Software, Writing – original draft

  * E-mail: matthijs.pals@uni-tuebingen.de (MP); omri.barak@gmail.com (OB)

  Affiliations Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany, Tübingen AI Center, University of Tübingen, Tübingen, Germany

  https://orcid.org/0000-0002-0640-2145

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• Jakob H. Macke,

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

  Affiliations Machine Learning in Science, Excellence Cluster Machine Learning, University of Tübingen, Tübingen, Germany, Tübingen AI Center, University of Tübingen, Tübingen, Germany, Department Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany

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• Omri Barak

  Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft

  * E-mail: matthijs.pals@uni-tuebingen.de (MP); omri.barak@gmail.com (OB)

  Affiliations Rappaport Faculty of Medicine Technion, Israel Institute of Technology, Haifa, Israel, Network Biology Research Laboratory, Israel Institute of Technology, Haifa, Israel

  https://orcid.org/0000-0002-7894-6344

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