SILICON CELLULAR MORPHOLOGY

Author:

BRESLIN CATHERINE1,SMITH LESLIE S.1

Affiliation:

1. Department of Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, Scotland, U.K.

Abstract

We describe a design technique for neuromorphic engineering that exploits both Mead's notion of physical equivalence between transistors and ion channels and the intrinsic properties of the materials of which transistors are composed. This is in contrast to the "algorithmic" design technique in common use. A "physical" design technique allows us to emphasise the morphology of cells. We hope to use this in an exploration of the effect of cell morphology upon function.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Biomimetic Strategies and Applications in the Nervous System;Biomimetic Materials And Design;2002-08-28

2. Neuromorphic hardware databases for exploring structure–function relationships in the brain;Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences;2001-08-29

3. Implementing Neural Models in Silicon;Handbook of Nature-Inspired and Innovative Computing

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