Memristor-based neuron circuit

Abstract

The invention discloses a memristor-based neuron circuit, comprising a synaptic circuit, a neuron activation function circuit and a synaptic weight control circuit. In the synaptic circuit, a memristor, under the control of four MOS tubes, changes the memristor value to simulate the change of the synaptic weight in the neuron network. The designed neuron synaptic circuit is capable of being directly connected with a digital logic electrical level so as to achieve convenient and real-time adjustment to the synaptic weight and through the use of the feature that the output voltage of an operational amplifier is restricted by the power supply voltage, the neuron circuit activation function can be realized as a saturated linear function. The neuron synaptic weight change circuit can utilize the existing CMOS micro-controller and at the same time, the micro-controller can be loaded by the neuron network algorithm to change the synaptic weight to realize corresponding functions. According to the invention, a plurality of neuron circuits could be connected into a large-scale neuron network for complicated functions such as mode identification, signal processing, associated memory and non-linear mapping, etc.

Description

technical field [0001] The invention belongs to the field of analog and digital circuits and the field of emerging circuit technology, and more specifically relates to a memristor-based neuron circuit. Background technique [0002] Memristors were first theoretically derived by Professor Leon.O.Chua of the University of California, Berkeley in 1971. In 2008, Hewlett-Packard Labs produced a real physical memristor for the first time. A memristor is a dynamic element, and when an external voltage is applied to it, the memristor value increases or decreases with the direction of the applied voltage. Therefore, it is an appropriate choice to use the memristor value of the memristor to represent the strength and weakness of the weight of the synaptic connection in the neural network. [0003] Artificial Neural Network (ANN) is a research hotspot in the field of artificial intelligence since the 1980s. It is based on the characteristics of Biological Neural Network (BNN), which...

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Problems solved by technology

[0010] Aiming at the defects of the prior art, the object of the present invention is to provide a memristor-based neuron circuit, aiming at solving the problem that the memristor-based neuron, the synapse circuit cannot be compatible with the existing digital logic level, the neural The memristor value in the meta-circuit cannot be adjusted online synchronously, there is no circuit with a saturated linear function as the activation function, and the neural network algorithm is not easy to load into the neuron circuit.

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