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1 Bulletin of the Polish Academy of Sciences. Technical Sciences

1 2006

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Transresistance CMOS neuron for adaptive neural networks implemented in hardware

Wojtyna R., Talaśka T.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2006

Vol. 54, nr 4

443-448

A simple analog circuit is presented which can play a neuron role in static-model-based neural networks implemented in the form of au integrated circuit. Operating in a transresistance mode it is suited to cooperate with transconductance synapses. As a result, its input signal is a current which is a sum of currents coming from the synapses. Summation of the currents is realized in a made at the neuron input. The circuit bas two outputs and provides a step function signal at one output and a linear function one at the other. Activation threshold of the step output can be conveniently controlled by means of a voltage. Having two outputs, the neuron is attractive to be used in networks taking advantage of fuzzy logic. It is built of only five MOS transistors, can operate with very law supply voltages, consumes a very law power when processing the input signals, and no power in the absence of input signals. Simulation as well as experimental results are shown to be in a good agreement with theoretical predictions. The presented results concern a 0.35 [mi]m CMOS process and a prototype fabricated in the framework of Europractice.