Neural simulation circuit

Abstract

The embodiment of the invention provides a neural simulation circuit, and the circuit comprises a first circuit, wherein the first end of the first circuit is connected with the input end Vin of a first neuron circuit, and the second end of the first circuit is connected with the output end Vout of the first neuron circuit; a capacitor C1, wherein the first end of the capacitor C1 is connected with the third end of the first circuit, and the second end of the capacitor C1 is connected with the ground; a second circuit, wherein the input end of the second circuit is connected with the third end of the first circuit, the output end of the second circuit is connected with the output end Vout of the first neuron circuit, and the second circuit is switched on when the voltage of the first end of the capacitor C1 is greater than a voltage threshold value; and a switching tube T1, wherein the input end of the switching tube T1 is connected with the third end of the first circuit, the output end of the switching tube T1 is connected with the ground, and the control end of the switching tube T1 is connected with the output end Vout of the first neuron circuit. According to the embodiment of the invention, the circuit can simulate the threshold characteristic of theca cells.

Description

Technical field [0001] The present invention relates to the field of circuits, and more specifically, to a neural analog circuit. Background technique [0002] Memristor (Memristor) is the fourth basic circuit element in addition to resistance, capacitance, and inductance. It is used to express the relationship between magnetic flux and charge. The memristor has the same unit (ohm) as the resistance, and is non-volatile, and the memristive value changes only when current flows. With the in-depth development of the research on the memristor, the memristor is used to simulate the memory and calculation functions of the biological nervous system. [0003] Such as figure 1 As shown, in the prior art, a neural analog circuit generally includes two neuron circuits (or neuron cell circuits) and a resistive memristor as a synaptic connection between the two, where each neuron circuit includes : Excitation signal terminal P, synapse connection terminal M, buffer (inverter N2 and inverter ...

AI Technical Summary

Problems solved by technology

[0005] The cell membrane of a neuron cell has a capacitance, called membrane capacitance, and the membrane capacitance has a threshold characteristic, that is, when a neuron cell receives an excitation signal exceeding the threshold value of the membrane capacitance, the neuron cell will transmit the excitation to other neurons through the synapse cells, but figure 1 After the neuron in the neural simulation circuit receives the excitation signal, it will act on the memristor immediately, causing it to generate a voltage difference, which cannot simulate the threshold characteristics of the neuron cell well.

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