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

Page: https://stenobird.com/podcast/theoretical-neuroscience-podcast-6657149/on-modeling-neural-population-activity-with-mean-field-models-with-tilo-schwalger-39
Text version: https://stenobird.com/podcast/theoretical-neuroscience-podcast-6657149/on-modeling-neural-population-activity-with-mean-field-models-with-tilo-schwalger-39.md
Podcast: [Theoretical Neuroscience Podcast](https://stenobird.com/podcast/theoretical-neuroscience-podcast-6657149)
Published: 2026-03-28T06:00:00+00:00
Episode link: https://431c9cd0-a1ff-4f9a-ac41-4fca68240d88.libsyn.com/on-modeling-neural-population-activity-with-mean-field-models-with-tilo-schwalger-39
Audio file: https://traffic.libsyn.com/secure/431c9cd0-a1ff-4f9a-ac41-4fca68240d88/ThN-039-TiloSchwalger_mixdown.mp3?dest-id=4181327
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Duration seconds: 8329

## Resource

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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## Transcript

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