Antoine Madar

I am a neuroscientist studying how networks of brain cells process information and perform computations to support cognition, with a central focus on the hippocampus and its role in learning and memory. My primary goal is to understand what algorithms the brain uses to enable episodic memory, how these algorithms are biologically implemented at the level of neurons and synapses, and how they break down in numerous brain and mental disorders.

I received my PhD at the University of Wisconsin-Madison in the lab of Mathew V. Jones, where I used slice electrophysiology and computational tools to measure input-output computations performed by the dentate gyrus of the hippocampus and identify their circuit mechanisms. During my postdoc in the lab of Mark Sheffield at the University of Chicago, I have continued asking similar questions by combining computational modeling and analysis of large-scale neuronal recordings in behaving mice to test and expand on theories of learning and memory. With this approach, I have recently shown how often a new kind of synaptic plasticity triggered by multidendritic plateau potentials occurs in CA1 and CA3 and how it explains rapid changes in neuronal representations during memory formation.

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