Douglas, Rodney and Mahowald, Misha and Mead, Carver (1995) Neuromorphic analogue VLSI. Annual Review of Neuroscience, 18 . pp. 255-281. ISSN 0147-006X http://resolver.caltech.edu/CaltechAUTHORS:DOUarn95
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Neuromorphic systems emulate the organization and function of nervous systems. They are usually composed of analogue electronic circuits that are fabricated in the complementary metal-oxide-semiconductor (CMOS) medium using very large-scale integration (VLSI) technology. However, these neuromorphic systems are not another kind of digital computer in which abstract neural networks are simulated symbolically in terms of their mathematical behavior. Instead, they directly embody, in the physics of their CMOS circuits, analogues of the physical processes that underlie the computations of neural systems. The significance of neuromorphic systems is that they offer a method of exploring neural computation in a medium whose physical behavior is analogous to that of biological nervous systems and that operates in real time irrespective of size. The implications of this approach are both scientific and practical. The study of neuromorphic systems provides a bridge between levels of understanding. For example, it provides a link between the physical processes of neurons and their computational significance. In addition, the synthesis of neuromorphic systems transposes our knowledge of neuroscience into practical devices that can interact directly with the real world in the same way that biological nervous systems do.
|Additional Information:||"Reprinted, with permission, from the Annual Review of Neuroscience, Volume 18 copyright 1995 by Annual Reviews, www.annualreviews.org" The preparation of this manuscript, and much of the research discussed in it, were supported by grants to R Douglas, M Mahowald, and K Martin by the Office of Naval Research, and to C Mead by the Office of Naval Research and the Defense Advanced Research Projects Administration. Fabrication facilites were provided by MOSIS.|
|Subject Keywords:||CMOS; computation; model; network; neuron|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Tony Diaz|
|Deposited On:||26 Jan 2006|
|Last Modified:||26 Dec 2012 08:44|
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