Chinese Academy of Sciences

Xumeng Zhang

Ming Liu

Qi Liu

Hangbing Lv

Zuheng Wu

Wei Wang

Tuo Shi

Shibing Long

A neuron circuit (), including a memristive element (M) used to receive an excitation signal; a trigger element (D) connected to the memristive element (M) and used to receive a clock control signal for the neuron circuit and an output signal of the memristive element (M); a feedback element (T) connected to an output end of the trigger element (D) and an input end of the memristive element (M), and used to control a voltage at the input end of the memristive element (M); and an AND circuit (A) used to perform an AND operation on an output signal of the trigger element (D) and the clock control signal. An output signal of the AND circuit (A) acts as an output signal of the neuron circuit ().

Neuron circuit and neural network circuit

Disclosed is an afferent neuron circuit, which includes: a resistance Rc and a volatile threshold switching device TS, wherein the volatile threshold switching device TS is provided with a parasitic capacitor Cparasitic; a first end of the resistance Rc serves as a signal input terminal, and a second end of the resistance Rc serves as a signal output terminal; and a first end of the volatile threshold switching device TS is connected to the signal output terminal, and a second end of the volatile threshold switching device TS is grounded. The afferent neuron circuit provided in the content of the present disclosure has a simple structure and good scalability and is suitable for large-scale integration.

Afferent neuron circuit and mechanoreceptive system

Disclosed are an artificial sensory nervous circuit and a manufacturing method thereof. The artificial sensory nervous circuit includes a sensor (S), a first memristor (RS), and a neuron circuit, where the first memristor (RS) has a unidirectional resistance characteristic. The sensor (S) is configured to sensing an external signal and generating an excitation signal according to the external signal. The first memristor (RS) is configured to generating a response signal according to the excitation signal. The neuron circuit is configured to perform charging and discharging according to the response signal so as to output a pulse signal. With the artificial sensory nervous circuit and the manufacturing method thereof, sensitivity and habituation characteristics of biological perception are realized by using a simple circuit.

Artificial sensory nervous circuit and manufacturing method thereof

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BEIJING, China

Xumeng Zhang