title: Silicon cellular morphology.
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.
authors.affiliation: Department of Computing Science and Mathematics, University of Stirling, Scotland.
authors.forename: C
authors.initials: C
authors.lastname: Breslin
authors.forename: L S
authors.initials: LS
authors.lastname: Smith
mesh_terms: D000465:Algorithms; D000818:Animals; D001181:Arthropods; D002816:Chordata, Nonvertebrate; D003199:Computer Systems; D003202:Computers, Analog; D003712:Dendrites / Q000502:physiology; D007473:Ion Channels / Q000502:physiology; D008564:Membrane Potentials / Q000502:physiology; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology* / Q000648:ultrastructure; D010247:Paramecium; D012825:Silicon; D014173:Transistors, Electronic
chemical_list: D007473:Ion Channels; D012825:Silicon