DocumentCode
1530271
Title
Adaptation in a VLSI model of a neuron
Author
Simoni, Mario F. ; DeWeerth, Stephen P.
Author_Institution
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
46
Issue
7
fYear
1999
fDate
7/1/1999 12:00:00 AM
Firstpage
967
Lastpage
970
Abstract
We have designed, fabricated, and tested an analog very large-scale integrated (VLSI) circuit model of a biological neuron that implements self-adaptation of its parameters. We show that the addition of this self-adaptation to our model neuron can facilitate: (1) single parameter control over a multiparameter system; (2) stability of the system to fluctuations in parameters; and (3) coordinated modulation of parameters to achieve a desired behavior
Keywords
VLSI; analogue processing circuits; circuit stability; neural chips; VLSI model; analogue circuit model; biological neuron; coordinated modulation; parameter self-adaptation; single parameter control; stability; Automatic testing; Biological system modeling; Biomembranes; Capacitors; Circuit testing; Delay; Equations; Neuromorphic engineering; Neurons; Very large scale integration;
fLanguage
English
Journal_Title
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7130
Type
jour
DOI
10.1109/82.775396
Filename
775396
Link To Document