Flexible artificial afferent nervous system based on micro-nano structure force-sensitive film and preparation method of system

Abstract

The invention discloses a flexible artificial afferent nervous system based on a micro-nano structure force-sensitive film, and the system comprises a substrate which is provided with a nano-generatorand an organic synaptic transistor; the organic synaptic transistor comprises a source electrode, a drain electrode, a gate electrode, a channel layer and a gate dielectric layer; the gate electrode,the source electrode and the drain electrode are located on the substrate; and the gate dielectric layer is located on the source electrode, the drain electrode and the channel layer; the nano-generator comprises a lower electrode, a dielectric layer, an upper electrode and an upper substrate from bottom to top; the lower electrode is the gate electrode; and the dielectric layer is a micro-nano structure force-sensitive film. The system has the advantages of low power consumption, small size and convenience in preparation.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a flexible artificial afferent nervous system based on a micro-nano structure force-sensitive film and a preparation method thereof. Background technique [0002] In the process of realizing artificial tactile perception, as the number of sensors increases, various problems will arise: such as complex wiring, high power consumption, and slow signal processing caused by a large amount of data. The pulse neural network technology is Achieving artificial tactile perception provides a solution. This technology simulates the ability of the brain to process a large number of parallel signals with low power consumption, and converts the analog signal from the sensor into a digital signal. This signal is affected during transmission. The influence of noise is small, the energy consumption is also low, and it can also be used to communicate directly with neurons. Usually, ...

AI Technical Summary

Problems solved by technology

[0002] In the process of realizing artificial tactile perception, as the number of sensors increases, various problems will arise: such as complex wiring, high power consumption, and slow signal processing caused by a large amount of data. The pulse neural network technology is Achieving artificial tactile perception provides a solution. This technology simulates the ability of the brain to process a large number of parallel signals under low power consumption, and converts the analog signal from the sensor into a digital signal. This signal is affected during transmission. The influence of noise is small, the energy consumption is also low, and it can also be used to communicate directly with neurons. Usually, the tactile sensor is used to simulate the receptors of the skin, and the analog-to-digital conversion circuit is used to convert the analog signal of the tactile sensor into a digital signal to simulate actions. potential, and then use the synaptic transistor to simulate the synaptic behavior. The traditional artificial afferent nervous system usually requires additional pulse conversion circuits and power supplies, which complicates the wiring and generates additional power consumption, so this problem needs to be solved urgently

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