Dynamical Principles of Biological and Artificial Neural Networks (Online)
Videos from BIRS Workshop
Leila Wehbe, Carnegie Mellon University
Tuesday Jan 11, 2022 10:44 - 11:21
(Carnegie Mellon) : Reverse engineering representations in real brains using artificial neural networks
Maximillian Puelma Touzel, Mila - Quebec AI Institute, University of Montreal
Tuesday Jan 11, 2022 11:21 - 12:08
(MILA) : Transients and non-stationarity: Not just 'not yet' and 'not for long'
Blake Richards, McGill University
Wednesday Jan 12, 2022 10:04 - 10:32
(McGill) : The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
Wulfram Gerstner, EPFL
Wednesday Jan 12, 2022 10:40 - 11:24
(EPFL) : Dynamics of memory retrieval in hippocampus
Antonio Galves, University of Sao Paulo
Wednesday Jan 12, 2022 13:01 - 13:44
(Sao Paolo) : How does the brain encode statistical regularities? Rissanen meets von Helmholtz.
Alex Huth, University of Texas Austin
Wednesday Jan 12, 2022 13:44 - 14:30
(UT Austin) : Mapping timescales of cortical language processing
Jason Pina, York University
Wednesday Jan 12, 2022 14:31 - 15:15
(York) : Searching for observable signatures of predictive hierarchical learning in neocortex
Andrea E. Martin, Max Planck Institute for Psycholinguistics
Thursday Jan 13, 2022 08:20 - 09:00
(MPI Psycholinguistics) : Human language as a test-case for system properties of neural networks
Carina Curto, The Pennsylvania State University
Thursday Jan 13, 2022 09:00 - 09:40
(Penn State) : Graph rules and topological insights for inhibitory network dynamics
Juliana Londono Alvarez, Pennsylvania State University
Thursday Jan 13, 2022 09:50 - 10:00
(Penn State) : Modeling central pattern generator circuits with combinatorial threshold linear networks
