publications on neural theory

Publications on neural theory explore how the brain's networks of neurons process information, learn, and adapt. These studies aim to understand the principles underlying cognition, perception, and behavior by modeling neural activity and connections. Researchers develop mathematical and computational frameworks to simulate neural functions, helping to explain phenomena like learning, memory, and decision-making. Advances in neural theory also inform artificial intelligence design, leading to smarter algorithms. Overall, these publications deepen our understanding of the complex, dynamic systems within the brain, bridging biology and computation to uncover the mechanisms of mind and intelligence.