This paper proposes a concise window function to build a memristor model, simulating the
widely-observed nonlinear dopant drift phenomenon of the memristor. Exploiting the non …

Spiking neural networks (SNNs), as brain-inspired neural network models based on spikes,
have the advantage of processing information with low complexity and efficient energy …

The Bayesian confidence propagation neural network (BCPNN) has been widely used for
neural computation and machine learning domains. However, the current implementations …

The hardware implementation of a feedback neural network, which is based on two ideas:
Stephen Grasberg's adaptive resonance theory and Hopfield's auto-associative memory …

Tesla, Google, and Waymo are all attempting to develop self-driving cars that can navigate
real-world roadways. Many analysts anticipate that fully driverless cars will be on the road in …