DocumentCode
2549165
Title
A field programmable neural array
Author
Farquhar, Ethan ; Gordon, Christal ; Hasler, Paul
Author_Institution
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN
fYear
2006
fDate
21-24 May 2006
Lastpage
4117
Abstract
An analog circuit capable of accurately emulating large complex cells, or multiple less complex ones is described. This circuit is termed the FPNA or the field programmable neural array. It is analogous to the more familiar FPGA, but is composed of biologically relevant circuit components including active channels, dendrites, and synapses. Taking each of these circuit models, and adding a routing structure capable of routing outputs from cells (or external inputs) to any individual synapse at any node yields a device which is capable of emulating complex biological circuits. This circuit opens doors to investigating what particular types of computation individual cells are performing, as well as small networks simpler cells
Keywords
analogue circuits; network routing; neural nets; programmable logic arrays; analog circuit; biologically relevant circuit components; field programmable neural array; routing structure; Analog circuits; Analog computers; Application software; Biology computing; Computer networks; Field programmable analog arrays; Field programmable gate arrays; Hardware; Neurons; Routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location
Island of Kos
Print_ISBN
0-7803-9389-9
Type
conf
DOI
10.1109/ISCAS.2006.1693534
Filename
1693534
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