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
- Thu 16 July 2020 — CANCELED due to ongoing COVID19 situation.
Note: Joint event with Basel Seminar in Neuroscience
Mehrdad Jazayeri, MIT, USA (web site)
TBA - Thu 20 August 2020 — CANCELED due to ongoing COVID19 situation.
Note: Joint event with Basel Seminar in Neuroscience
Nicole Rust, UPenn, USA (web site)
TBA
Past Seminars
2020
- Mon 06 July 2020
Note: This event will be held at a later date.
Richard Naud, University of Ottawa, Canada
TBA (details)
This event was canceled due to ongoing COVID19 situation. - Mon 22 June 2020
Note: This is a virtual talk on Zoom.
Viola Priesemann, MPI for Dynamics and Self-Organization, Germany
Information flow and spreading dynamics in neural networks and beyond (details) - Tue 09 June 2020
Note: Hosted on Zoom by Prof. Alex Schier (Biozentrum)
Everton Agnes, University of Oxford, UK
Flexible, robust, and stable learning with interacting synapses (details) - Fri 05 June 2020
Note: Joint event with Basel Seminar in Neuroscience
Larry Abbott, Columbia University, USA
TBA (details)
This event was canceled due to ongoing COVID19 situation. - Wed 18 March 2020
Peter Dayan, MPI for Biological Cybernetics, Germany
Replay and Preplay in Human Planning (details)
This event was canceled due to ongoing COVID19 situation. - 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)