Editorial: Neuromorphic Memristive Computation: Where Memristor-Based Designs Meet Artificial Intelligence Applications

Abstract

Intelligence Applications 16The definition of a memristor was introduced by Professor L. O. Chua in 1971. By generalizing the 17 definition of a memristor, memristive devices and systems were also proposed. Since the real 18 memristor was implemented at Hewlett-Packard Labs, there has been an increasing interest in 19 memristor and its applications. Memristor is a kind of synaptic element with nanometer size and continuously variable memristance. 68The bridge synaptic circuit constructed by the memristor has a simple structure and precise control. In 69 practice, because of the non-linear characteristics of memristor, it is not easy to control synaptic circuit 70 and errors in weights appear. Therefore, a novel memristor synaptic circuit is proposed by Wang et al., 71 named the dual-mode memristor bridge synaptic neural network. The proposed method can make the 72 weights more linear by controlling the input voltages and make the outputs more linear by using 73 symmetrical positive and negative pulses. As a result, the proposed synaptic circuit is easier to be 74 controlled. The numerical simulations are conducted and verify the feasibility. Furthermore, the 75 simulation experiments are conducted for edge extraction of grayscale birds' images in the airport for 76 bird recognition applied for the bird repelling applications. 77