Mathematical Modeling seminars
November 2022
Recorded
The role of population structure in computations through neural dynamics
Alexis Dubreuil· French National Centre for Scientific Research (CNRS), BordeauxVideo · 46 min
September 2022
Recorded
Learning static and dynamic mappings with local self-supervised plasticity
Pantelis Vafeidis· California Institute of TechnologyVideo
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
March 2022
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
January 2022
Recorded
December 2021
Recorded
NMC4 Short Talk: Predictive coding is a consequence of energy efficiency in recurrent neural networks
Abdullahi Ali· Donders Institute for BrainVideo page
November 2021
Thu, Nov 18 · 16:00 UTC · Online
When and (maybe) why do high-dimensional neural networks produce low-dimensional dynamics?
Eric Shea-Brown· Department of Applied Mathematics, University of Washington
March 2021
Recorded
Untangling brain wide current flow using neural network models
Kanaka Rajan· Mount SinaiVideo · 1 h 16 min
December 2020
Recorded
Linking dimensionality to computation in neural networks
Stefano Recanatesi· University of WashingtonVideo · 54 min
September 2020
Recorded
Using noise to probe recurrent neural network structure and prune synapses
Rishidev Chaudhuri· University of California, DavisVideo · 54 min
June 2020
Recorded
Disentangling the roles of dimensionality and cell categories in neural computations
Srdjan Ostojic· École Normale SupérieureVideo
End of results.