Neural activation refers to the process by which neurons in the brain or artificial neural networks become active in response to stimuli, leading to the transmission of signals that contribute to perception, decision-making, and learning. Understanding neural activation is crucial for deciphering brain function and improving the design and training of artificial neural networks in machine learning applications.