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Theoretical Neuroscience Podcast
VetenskapLife Science

On modeling neural population activity with mean-field models - with Tilo Schwalger - #39

2 tim 19 min•28 mars 2026

Starting with the work of pioneers like Wilson and Cowan in the 1970s, mean‑field models have become a dominant tool for modeling neural activity at the level of neuronal populations.

Despite their popularity, most mean‑field models have been heuristic and not systematically derived from the underlying 'microscopic' dynamics of individual neurons.

Today's guest has made important contributions towards remedying this situation.

 

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On extracting spiking network models from experiments - with Richard Gao - #38
•1 tim 36 min
On reproducibility of modeling and 10 years with the Potjans-Diesmann network model - with Hans Ekkehard Plesser - #37
•1 tim 29 min
On low-dimensional manifolds in motor cortex - with Sara Solla - #36
•2 tim 5 min
On modeling metabolic networks in the brain – with Polina Shichkova - #35
•1 tim 32 min
On balanced neural networks - with Nicolas Brunel - #34
•1 tim 39 min
On computational neurotechnology for the clinic - with Anthony Burkitt, Nada Yousif & Esra Neufeld - #33
•1 tim 1 min
On IIT and adversarial testing of consciousness theories - with Christof Koch - #32
•2 tim 18 min
On how to cure brain diseases - with Nicole Rust - #31
•2 tim 13 min
On co-dependent excitatory and inhibitory plasticity - with Tim Vogels - #30
•1 tim 31 min
On the philosophy of simplification in computational neuroscience - with Mazviita Chirimuuta and Terrence Sejnowski - #29
•1 tim 24 min

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