This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

Most memristor-based Pavlov associative memory neural networks strictly require that only
simultaneous food and ring appear to generate associative memory. In this article, the time …

Neuromorphic systems must have at least five unavoidable features that are present in living
beings. First, neuromorphic systems must perform memorizing and processing functions …

Most memristor-based neural networks only consider a single mode of memory or emotion,
but ignore the relationship between emotion and memory. In this paper, a memristor-based …

Bio-inspired computing promises fundamentally different ways to advances in artificial
intelligence with extreme energy efficiency. Memristive technologies due to the non-volatility …

In the existing affective associative memory neural network circuits, the change of emotions
in the affective associative learning and forgetting processes is abrupt and the intensity of …

Memristive LSTM networks have been proven as a powerful Neuromorphic Computing
Architecture (NCA) for various time series forecasting tasks and are recognized as the next …

There are many learning modes in associative memory, but most of memristor-based Pavlov
associative memory circuits only have a single mode. A learning circuit that can realize …

Most of the associate memory circuits are at the simulation stage. If these designs are to be
realized in hardware, they pose substantial requirements in terms of experimental …

The paper presents memristor crossbar architectures for implementing layers in deep neural
networks, including the fully connected layer, the convolutional layer, and the pooling layer …