Computation and Neural Systems: Difference between revisions

Revision as of 03:25, 24 August 2011

Revision as of 03:25, 24 August 2011

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In the early 1980s, [[Carver Mead]] became interested in exploring the similarities between computation done in the brain and the type of computations that could be carried out in analog silicon electronic analog. Mead joined with John Hopfield, who was studying the theoretical foundations of neural computation, to expand his study. Mead and Hopfield's first joint course in this area was entitled “Physics of Computation”; Hopfield teaching about his work in neural networks and Mead about his work in the area of replicating neuronal structures in highly integrated electronic circuits. Given the interest among both students and faculty, they decided to expand upon these themes in the following year. [[Richard Feynman]] joined them and three separate courses resulted: Hopfield's on neural networks, Mead's on neuromorphic analog circuits, and Feynman's course on the physics of computation. At this point, Mead and Hopfield realized that a new field was emerging with neural scientists and the people doing the computer models and circuits all talking to each other.

In the fall of 1986, an interdisciplinary Ph.D. program was established at Caltech to study problems arising at the interface between neurobiology and electrical engineering, computer science and physics. It was called ``"Computation and Neural Systems'' (CNS). Amongst the early founding faculty were [[Carver Mead]], [[John Hopfield]], David van Essen, Mark Konishi, John Allman, Ed Posner, Demetri Psaltis. The unifying theme of the program is the relationship between the physical structure of a computational system (physical or biological hardware), the dynamics of its operation and the computational problems that it can efficiently solve. The creation of this multidisciplinary program stems largely from progress on several previously unrelated fronts: the analysis of complex neural systems at both the single-cell and the network levels using a variety of techniques (in particular, patch-clamp recordings, intracellular and extra-cellular single and multi-unit electrophysiology in the awake animal and functional brain imaging techniques, such as fMRI), the theoretical analysis of nervous structures (computational neuroscience) and the modeling of artificial neural networks for engineering purposes. The program started out with a small number of existing faculty in the various divisions. In the same year, the first junior faculty ([[Christof Koch]]) was hired for the CNS program.

== Faculty ==