McClelland and Rumelhart (book)

McClelland and Rumelhart's book explores how the brain processes information through connectionist models, which simulate neural networks. They demonstrate that cognitive functions like learning, memory, and pattern recognition emerge from the complex interactions of simple units connected in a network, much like neurons in the brain. Their work emphasizes that mental processes are distributed and adaptable, challenging traditional symbolic models. This approach helps explain how we acquire knowledge and recognize patterns, providing a framework for understanding human intelligence and developing artificial systems that mimic cognitive functions.