
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 functional effects of neuronal heterogeneity - with David Dahmen - #41

On smelling your way to the fruit with ring models - with Katherine Nagel - #40

On extracting spiking network models from experiments - with Richard Gao - #38

On reproducibility of modeling and 10 years with the Potjans-Diesmann network model - with Hans Ekkehard Plesser - #37
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