A Biologically Inspired Model of Spiking Neurons Suitable for Analog IC Design

摘要

In this paper it is described the structure and the working way of an electronic model of spiking neurons developed for silicon implementation. Being sensitive to external medium changes and being able to strengthen their synapses when concurrent events happen, these neurons could develop their own synoptic configuration in an activity dependent manner. Networks of such spiking neurons best fit to physical medium understanding like speech recognition or image processing. Most models of neurons use software programmed functions to describe the natural neuron physiology. In this work I tried a different approach: the physiology of the biological neuron was simulated using basic electronic components which offer high computation speed while using low energy. To test the performance of these neurons it was developed a tool which could perform speech recognition. However, the final goal of this approach is to design an analog integrated chip that could be used in any domain that requires artificial intelligence.