Selected Papers of Daniel Amit (1938-2007)

Facsimiles of 20 papers document Amit's endeavor over about two decades to uncover the dynamic principles underlying brain function, and to sharpen theoretical tools to describe them. They cover the Hopfield model, a network counting chimes, associative memory networks at low rates, towards networks of spiking neurons, the Miyashita correlations, learning in networks with discrete synapses, the Behavioral and Brain Science review, dynamics of networks of spiking neurons, electronic implementations, prospective activity, multi-item working memory, learning with spike-driven plastic synapses, and familiarity recognition. Also included is the unpublished paper "Hebb Versus Biochemistry: The Fundamentalist Viewpoint." Each section is introduced by colleagues. The original page numbers are retained for reference. There is no index. Annotation c2013 Book News, Inc., Portland, OR (booknews.com)