"Unmarring the Perceptron: Lessons in Cerebellar Computing from Fish and Flies"

Recent advances in our understanding of the anatomy and function of cerebellar-like circuits in fish and flies illuminate a form of neural computation resembling the classic perceptron, famous in machine learning and MIT history.  I will use these results to explain puzzling features of cerebellar computation, including random and sparse synaptic connectivity, and discuss why cerebellar and cortical computing strategies are so different.