Design of time-pulse coded optoelectronic neuronal elements for nonlinear transformation and integration

Abstract

In the paper the actuality of neurophysiologically motivated neuron arrays with flexibly programmable functions and operations with possibility to select required accuracy and type of nonlinear transformation and learning are shown. We consider neurons design and simulation results of multichannel spatio-time algebraic accumulation -integration of optical signals. Advantages for nonlinear transformation and summation -integration are shown. The offered circuits are simple and can have intellectual properties such as learning and adaptation.The integrator-neuron is based on CMOS current mirrors and comparators. The performance: consumable power -100…500 µW, signal period-0.1…1ms, input optical signals power -0.2… 20 µW; time delays -less 1µs, the number of optical signals -2…10, integration time -10…100 of signal periods, accuracy or integration error -about 1%.Various modifications of the neuron-integrators with improved performance and for different applications are considered in the paper.