
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 the computational neuroscience legacy of Valentino Braitenberg - with Ad Aertsen - #43

On neuronal identity and representational drift - with Timothy O'Leary - #42

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

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