Mathematical Modeling seminars
June 2025
Wed, Jun 11 · 13:00 UTC · Online
Neurobiological constraints on learning: bug or feature?
Cian O’Donell· Ulster University
November 2024
Fri, Nov 29 · 14:00 UTC · Online
Decision and Behavior
Sam Gershman, Jonathan Pillow, Kenji Doya· Harvard University; Princeton University; Okinawa Institute of Science and Technology
March 2024
Wed, Mar 6 · 16:00 UTC · Online
May 2023
Wed, May 31 · 05:00 UTC · Online
A recurrent network model of planning explains hippocampal replay and human behavior
Guillaume Hennequin· University of Cambridge, UK
Wed, May 3 · 05:00 UTC · Online
Off-policy learning in the basal ganglia
Ashok Litwin-Kumar· Columbia University, New York
January 2023
Wed, Jan 18 · 05:00 UTC · Online
Meta-learning functional plasticity rules in neural networks
Tim Vogels· Institute of Science and Technology (IST), Klosterneuburg, Austria
December 2022
Recorded
Can a single neuron solve MNIST? Neural computation of machine learning tasks emerges from the interaction of dendritic properties
Ilenna Jones· University of PennsylvaniaVideo · 47 min
November 2022
Recorded
Fri, Nov 4 · 07:30 UTC · Online
Recorded
The role of population structure in computations through neural dynamics
Alexis Dubreuil· French National Centre for Scientific Research (CNRS), BordeauxVideo · 46 min
October 2022
Fri, Oct 14 · 06:30 UTC · Online
September 2022
Recorded
Learning static and dynamic mappings with local self-supervised plasticity
Pantelis Vafeidis· California Institute of TechnologyVideo
July 2022
Recorded
A Game Theoretical Framework for Quantifying Causes in Neural Networks
Kayson Fakhar· ICNS HamburgVideo · 1 h
June 2022
Recorded
Trading Off Performance and Energy in Spiking Networks
Sander Keemink· Donders Institute for Brain, Cognition and BehaviourVideo · 31 min
Recorded
Heterogeneity and non-random connectivity in reservoir computing
Abigail Morrison· Jülich Research Centre & RWTH Aachen University, GermanyVideo · 52 min
May 2022
Recorded
Hebbian Plasticity Supports Predictive Self-Supervised Learning of Disentangled Representations
Manu Halvagal· Friedrich Miescher Institute for Biomedical ResearchVideo · 59 min
Recorded
Time as a continuous dimension in natural and artificial networks
Marc Howard· Boston UniversityVideo · 1 h
April 2022
Recorded
Population coding in the cerebellum: a machine learning perspective
Reza Shadmehr· Johns Hopkins School of MedicineVideo · 55 min
March 2022
Recorded
Network science and network medicine: New strategies for understanding and treating the biological basis of mental ill-health
Petra Vértes· Department of Psychiatry, University of CambridgeVideo page
Recorded
Parametric control of flexible timing through low-dimensional neural manifolds
Manuel Beiran· Center for Theoretical Neuroscience, Columbia University & Rajan lab, Icahn School of Medicine at Mount SinaiVideo