Adaptation in an a VLSI model of a neuron

We have designed, fabricated, and tested an analog very large-scale integra ted (aVLSI) circuit model of a biological neuron that implements self-adapt ation of its parameters. We show that the addition of this self-adaptation to our model neuron can facilitate: 1) single parameter control over a mult iparameter system; 2) stability of the system to fluctuations in parameters ; and 3) coordinated modulation of parameters to achieve a desired behavior .