Information processing method and device for simulating biological neuron information processing mechanism

Abstract

The invention discloses an information processing method and device simulating a biological neuron information processing mechanism, which comprises a signal input circuit, an integrating circuit, a pulse generating circuit and a decoding circuit. The signal input circuit simulates and generates the nerve impulse of neuron. The integrating circuit analogous to membrane potential integrates the input signals of the signal input circuit. The pulse generating circuit compares the integrating result of the analogous membrane potential integrating circuit with a predetermined threshold potential in order to generate analogous motion potential pulse. The decoding circuit ingrates the analogous motion potential impulse in order to obtain the analogous motion potential pulse coding signals of output signals consistent with the input signals. The invention simulates the information processing mechanism of the biological neuron and realizes the biological neuron manner with a circuit method.

Description

technical field [0001] The present invention relates to an information processing method and device for simulating the information processing mechanism of biological neurons. Specifically, the present invention relates to an artificial neuron (hereinafter referred to as artificial neuron or modular artificial neuron) that performs modulus encoding and decoding. Or a signal processing device, especially the analog-to-digital encoding and decoding that uses time or the reciprocal of time, that is, frequency as an analog quantity, and takes the (single-phase or biphasic) pulse equivalent to an action potential as a digital quantity (nothing is 0 or yes is 1) Methods of artificial neurons or signal processing devices. Background technique [0002] Neurons, also known as nerve cells, are the basic functional units that make up the nervous system. Biological neurons are generally composed of three parts: dendrites, axons and cell body. Dendrites are short and multi-branched prot...

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Problems solved by technology

[0011] The artificial neuron model or neural network model based on the MP neuron model is a simple abstraction of neurons and neural networks in imitating the information processing mechanism of biological neurons. Whether the neuron has an output or which neuron in the neural network has an output, and the processing of the input information is simply weighted and superimposed, so that the information processing mechanism of the artificial neuron model or neural network model based on the MP neuron model is consistent with the real Large gaps exist in neuronal function

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