Currently, the integration of artificial intelligence (AI) techniques with multimodal
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …

In this work, an operant conditioning (OC) model and memristive circuit implementation
based on emotion generation and modulation is proposed, which is inspired by neural and …

This paper addresses the problems of finite-time dissipative analysis and control for discrete-
time memristive neural networks (DMNNs). With the help of interval matrix method (IMM), the …

Pavlovian associative memory plays an important role in our daily life and work. The
realization of Pavlovian associative memory at the deoxyribonucleic acid (DNA) molecular …

Affective associative memory is one method by which agents acquire knowledge,
experience, and skills from natural surroundings or social activities. Using neuromorphic …

Most operant conditioning circuits predominantly focus on simple feedback process, few
studies consider the intricacies of feedback outcomes and the uncertainty of feedback time …

Currently, the research in memristor-based associative memory neural networks pays more
attention to positive stimuli and lays less attention to negative stimuli. Negative stimuli are …

Most memristor-based neural network circuits consider only a single pattern of classical
conditioning (CC) or operant conditioning (OC), but the simultaneous occurrence of CC and …

Most memristor-based Pavlovian associative memory neural networks explore the impact of
relearning and forgetting on associative memory rates. In this paper, a memristor-based …

Modeling, analyzing, and simulating biological neural networks have attracted significant
interest due to their wide-ranging applications in neuroscience and computational systems …