Sleep Wake Cycle

The sleep-wake cycle (SWC) is a fundamental biological process crucial for memory consolidation and learning, with research focusing on understanding its underlying mechanisms and leveraging its principles for artificial intelligence. Current investigations utilize computational models, such as those incorporating disentangling and entangling operators to represent memory processes, and analyze large-scale datasets from wearable sensors to characterize sleep architecture and its correlation with various health indicators. These efforts aim to improve our understanding of SWC's role in health and disease, potentially leading to advancements in personalized healthcare and the development of more robust artificial learning systems.