Hebbian Learning

Why It Was Important

Donald Hebb introduced this neurophysiological postulate proposing how learning occurs in the brain through the strengthening of synapses between repeatedly co-activated neurons. In AI, this became the basis for unsupervised learning algorithms and weight-updating mechanisms in artificial neural networks.

Who Invented It

Donald Hebb

Canadian psychologist who profoundly influenced the area of neuropsychology.

Applications

• Unsupervised Learning
• Synaptic Plasticity Modeling
• Associative Memory