A synthetic neural integrated circuit

L. A. Akers; M. Walker; R. Grondin; D. Ferry

doi:10.1109/CICC.1989.56743

A synthetic neural integrated circuit

L. A. Akers, M. Walker, R. Grondin, D. Ferry

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Integrated circuits are approaching biological complexity in device count. Biological systems are fault tolerant, adaptive, and trainable and the possibility exists for similar characteristics in IC's. We report in this paper a limited-interconnect, highly layered synthetic neural network.

Original language	English (US)
Title of host publication	Proceedings of the Custom Integrated Circuits Conference
DOIs	https://doi.org/10.1109/CICC.1989.56743
State	Published - 1989
Event	11th IEEE 1989 Custom Integrated Circuits Conference, CICC'89 - San Diego, CA, United States Duration: May 15 1989 → May 18 1989

Other

Other	11th IEEE 1989 Custom Integrated Circuits Conference, CICC'89
Country/Territory	United States
City	San Diego, CA
Period	5/15/89 → 5/18/89

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/CICC.1989.56743

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@inproceedings{b677d41e5a0d4e03b20b82190b7bf9db,

title = "A synthetic neural integrated circuit",

abstract = "Integrated circuits are approaching biological complexity in device count. Biological systems are fault tolerant, adaptive, and trainable and the possibility exists for similar characteristics in IC's. We report in this paper a limited-interconnect, highly layered synthetic neural network.",

author = "Akers, {L. A.} and M. Walker and R. Grondin and D. Ferry",

year = "1989",

doi = "10.1109/CICC.1989.56743",

language = "English (US)",

booktitle = "Proceedings of the Custom Integrated Circuits Conference",

note = "11th IEEE 1989 Custom Integrated Circuits Conference, CICC'89 ; Conference date: 15-05-1989 Through 18-05-1989",

}

TY - GEN

T1 - A synthetic neural integrated circuit

AU - Akers, L. A.

AU - Walker, M.

AU - Grondin, R.

AU - Ferry, D.

PY - 1989

Y1 - 1989

N2 - Integrated circuits are approaching biological complexity in device count. Biological systems are fault tolerant, adaptive, and trainable and the possibility exists for similar characteristics in IC's. We report in this paper a limited-interconnect, highly layered synthetic neural network.

AB - Integrated circuits are approaching biological complexity in device count. Biological systems are fault tolerant, adaptive, and trainable and the possibility exists for similar characteristics in IC's. We report in this paper a limited-interconnect, highly layered synthetic neural network.

UR - http://www.scopus.com/inward/record.url?scp=84869397526&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84869397526&partnerID=8YFLogxK

U2 - 10.1109/CICC.1989.56743

DO - 10.1109/CICC.1989.56743

M3 - Conference contribution

AN - SCOPUS:84869397526

BT - Proceedings of the Custom Integrated Circuits Conference

T2 - 11th IEEE 1989 Custom Integrated Circuits Conference, CICC'89

Y2 - 15 May 1989 through 18 May 1989

ER -

A synthetic neural integrated circuit

Abstract

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ASJC Scopus subject areas

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