Adaptation in a VLSI model of a neuron

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.