Sequential Memory

Sequential memory, the ability to recall ordered sequences of events, is crucial for higher-level cognitive functions and is a major focus of research in neuroscience and artificial intelligence. Current research investigates biologically-inspired models like attractor networks and predictive coding frameworks, along with deep learning approaches, to improve the capacity, robustness, and efficiency of sequential memory systems. These efforts aim to understand the underlying neural mechanisms and develop more powerful and efficient artificial systems for tasks ranging from language processing to robotics. The insights gained will advance our understanding of cognition and lead to improved AI algorithms capable of handling complex temporal information.