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
fDate :
7/1/1999 12:00:00 AM
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;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
