Neural Plasticity

Neural plasticity, the brain's capacity for adaptive change, is a central focus of research aiming to understand how learning and memory occur and to build more robust and adaptable artificial intelligence systems. Current research emphasizes developing biologically-inspired models, such as those incorporating metaplasticity and leveraging principles of synaptic dynamics and competitive plasticity, to overcome limitations like catastrophic forgetting in artificial neural networks. These efforts are driving advancements in continual learning, improving the efficiency and energy consumption of AI, and informing the design of neuromorphic hardware.