Fairhall Research
The Fairhall lab uses mathematical and statistical methods to study the relationship between neuronal circuitry and functional algorithms of computation.  Through collaborations with experimental labs we develop analysis and modeling to understand how: single neurons transform their inputs; what rules govern adaptation in different sensory modalities; how the properties of single neurons contribute to their role in network dynamics; how algorithms of learning, memory and motor control are instantiated in the dynamics of neural circuits in birdsong, invertebrate models and primates.

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