Hebbian learning is a theory of learning and neural plasticity that is based on the idea that neurons that fire together wire together. It is named after Canadian psychologist Donald O. Hebb, who proposed the theory in his 1949 book “The Organization of Behavior.”
According to Hebbian learning, when two neurons are activated at the same time, the connections between them (synapses) are strengthened. This process is thought to be the basis for learning and memory formation in the brain. Hebbian learning is also known as “associative learning,” as it involves the formation of associations between different stimuli and responses.
Hebbian learning is thought to be an important mechanism for the development and plasticity of neural networks in the brain, and it is often used to explain how experiences can shape the structure and function of the brain. It is also an important concept in artificial intelligence, as it has influenced the development of algorithms that are used to train artificial neural networks.