Neural Computation

Neural computation refers to how networks of interconnected units, similar to brain cells called neurons, process and analyze information. These networks receive input signals, perform mathematical operations, and produce outputs, enabling tasks like pattern recognition, decision-making, and learning. Essentially, neural computation models how the brain interprets complex data, using structures that adapt over time, improving performance. It underpins technologies such as artificial intelligence, machine learning, and deep learning, allowing computers to mimic cognitive functions by simulating neural processes in a structured, efficient manner.