Lifelong learning—an agent's ability to learn throughout its lifetime—is a hallmark of
biological learning systems and a central challenge for artificial intelligence (AI). The …

Catastrophic forgetting (CF) refers to the sudden and severe loss of prior information in
learning systems when acquiring new information. CF has been an Achilles heel of standard …

Most of the operant conditioning only consider the basic theory, but the influencing factors
such as immediacy and satiety are ignored. In this paper, a memristor neural network circuit …

This book chapter delves into the dynamics of continual learning, which is the process of
incrementally learning from a non-stationary stream of data. Although continual learning is a …

Spiking neural network models when deployed in dynamic environments, catastrophically
forget previously learned tasks. In this paper, we propose a reconfigurable spiking digital …

Metaplasticity, the activity-dependent modification of synaptic plasticity, is an important
technique for mitigating catastrophic forgetting in neural networks. Often, continual learning …