Artificial feeling neural circuit and preparation method thereof

A circuit and neural technology, applied in the field of bionic electronics, can solve problems such as complex circuit structure

Active Publication Date: 2020-01-03
INST OF MICROELECTRONICS CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] What the present invention is to solve is the complex problem of the circuit structure based on CMOS circuit realizing sensitive and customary characteristics

Method used

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  • Artificial feeling neural circuit and preparation method thereof
  • Artificial feeling neural circuit and preparation method thereof
  • Artificial feeling neural circuit and preparation method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] This embodiment provides an artificial sensory neural circuit, figure 1 is a schematic diagram of the circuit structure of the artificial sensory nerve circuit, and the artificial sensory nerve circuit includes a sensor S, a first memristor RS and a neuron circuit.

[0056] Specifically, the sensor S is used for sensing external signals and generating an excitation signal according to the external signals. The sensor S can be a photoelectric sensor, a pressure sensor, etc., and the type of the sensor S can be determined according to actual application scenarios. The first memristor RS is used to generate a response signal according to the excitation signal. In this embodiment, the first memristor RS has a unidirectional resistance-switching characteristic. The unidirectional resistive switching characteristic is also called unipolar resistive switching behavior, which means that the resistive switching behavior does not depend on the polarity of the applied voltage. A...

Embodiment 2

[0062] Based on the same inventive concept, this embodiment provides a method for preparing an artificial sensory neural circuit. Figure 4 It is a flowchart of the preparation method of the artificial sensory nerve circuit, and the preparation method of the artificial sensory nerve circuit includes step S1 to step S3.

[0063] S1, prepare a neuron circuit, and the neuron circuit is used to charge and discharge according to the response signal to output a pulse signal.

[0064] Figure 5 It is a flowchart of the preparation method of the neuron circuit, and the preparation method of the neuron circuit includes step S11 to step S13.

[0065] S11, preparing the output resistance.

[0066] Such as Figure 6a As shown, a semiconductor substrate 11 is provided, and the semiconductor substrate 11 may be a silicon substrate, a quartz substrate, or an organic flexible film substrate or the like.

[0067] Such as Figure 6b As shown, a first isolation layer 12 is deposited on the ...

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Abstract

The invention discloses an artificial feeling neural circuit and a preparation method thereof, the artificial feeling neural circuit comprises a sensor, a first memristor and a neuron circuit, and thefirst memristor has a unidirectional resistance change characteristic; the sensor is used for sensing an external signal and generating an excitation signal according to the external signal; the first memristor is used for generating a response signal according to the excitation signal; and the neuron circuit is used for charging and discharging according to the response signal so as to output apulse signal. According to the artificial sensing neural circuit and the preparation method thereof, sensitivity and habit characteristics of biological sensing can be realized by adopting a simple circuit structure.

Description

technical field [0001] The invention relates to the technical field of bionic electronics, in particular to an artificial sensory nerve circuit and a preparation method thereof. Background technique [0002] The sensory nervous system is an important channel for organisms to perceive external information, so the artificial sensory neural circuit has a wide range of application scenarios, for example, it can be applied in the fields of intelligent robots, prosthetics, and artificial skin. Non-associative learning is a form of learning that does not form a clear connection between stimulus and response, and is presented repeatedly by a single pattern of stimuli, correspondingly causing a learning process that stimulates changes in a single sensory system in the brain. Sensitive and habitual characteristics are typical non-associative learning modes. At present, the circuit structure based on traditional CMOS circuits to realize sensitive and habitual characteristics is complic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/063H01L27/24
CPCG06N3/063H10B63/00G06N3/065H10N30/302H10N70/20H10N70/883H10B63/84H10N70/026
Inventor 刘琦吴祖恒时拓刘明吕杭炳张续猛王伟
Owner INST OF MICROELECTRONICS CHINESE ACAD OF SCI
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