Adaptation in an aVLSI model of a neuron

We have designed, fabricated, and tested an analog very large scale integration (aVLSI) circuit model of a neuron that facilitates self-adaptation of its parameters. This self-adaptation results from a negative feedback loop that modulates conductances based on the activity of the “cell”. We show that the addition of this self-adaptation to our model neuron can facilitate: 1) single parameter control over a multi-parameter system; 2) stability of the system to fluctuations in parameters; 3) coordinated modulation of parameters to achieve a desired behavior