Seminars

Here we provide a list of seminars organized by the Computational Neuroscience Initiative Basel (CNIB). This is a joint initiative of Arjun Bharioke, Claire Meissner-Bernard, Fiona Muellner, Rava A. da Silveira, and Friedemann Zenke.

Upcoming Seminars

ics calendar link

  • Wed 18 March 2020 — CANCELED due to ongoing COVID19 situation.
    Peter Dayan, MPI for Biological Cybernetics, Germany (web site)
    Replay and Preplay in Human Planning

    About the speaker: Peter Dayan is a Director at the Max Planck Institute for Biological Cybernetics. He studied for his PhD with David Willshaw in Edinburgh, and did postdocs with Terry Sejnowski at the Salk Institute and Geoff Hinton in Toronto. He was an assistant professor in the Department of Brain and Cognitive Sciences at MIT, and was a founding faculty member of the Gatsby Computational Neuroscience Unit at UCL, which he then ran for 15 years. His interests include affective decision making and neural reinforcement learning.

  • Fri 05 June 2020, 11:30 — Pharmazentrum HS2 (map)
    Note: Joint event with Basel Seminar in Neuroscience
    Larry Abbott, Columbia University, USA (web site)
    TBA
  • Mon 22 June 2020, 14:00 — FMI 5.30
    Viola Priesemann, MPI for Dynamics and Self-Organization, Germany (web site)
    TBA
  • Mon 06 July 2020, 14:00 — FMI 5.30
    Richard Naud, University of Ottawa, Canada (web site)
    TBA
  • Thu 16 July 2020, 11:30 — Pharmazentrum HS2 (map)
    Note: Joint event with Basel Seminar in Neuroscience
    Mehrdad Jazayeri, MIT, USA (web site)
    TBA
  • Thu 20 August 2020, 11:30 — Pharmazentrum HS2 (map)
    Note: Joint event with Basel Seminar in Neuroscience
    Nicole Rust, UPenn, USA (web site)
    TBA

Past Seminars

Years | 2020 | 2019

2020

  • Thu 20 February 2020
    Note: This talk is organized by the FMI students and post-docs.
    Nao Uchida, Harvard, USA
    A normative perspective on the diversity of dopamine signals (details)

2019

  • Thu 05 December 2019
    Elad Schneidman, Weizmann, Israel
    Learning the code of large neural populations using random projections (details)
  • Wed 27 November 2019
    Wulfram Gerstner, EPFL, Switzerland
    Eligibility traces and three-factor learning rules (details)
  • Wed 13 November 2019
    Emre Neftci, UC Irvine, USA
    Data and power efficient intelligence with neuromorphic hardware (details)