Hebbian theory is a neuropsychological theory claiming that an increase in synaptic efficacy arises from a presynaptic cell's repeated and persistent...

existing neurons to improve the effectiveness of their communication. Hebbian theory, introduced by Donald Hebb in 1949, echoed Ramón y Cajal's ideas, further...

psychological processes such as learning. He is best known for his theory of Hebbian learning, which he introduced in his classic 1949 work The Organization...

the important neurochemical foundations of learning and memory (see Hebbian theory). Plastic change often results from the alteration of the number of...

stored patterns. Patterns are associatively learned (or "stored") by a Hebbian learning algorithm. One of the key features of Hopfield networks is their...

The generalized Hebbian algorithm (GHA), also known in the literature as Sanger's rule, is a linear feedforward neural network for unsupervised learning...

{\displaystyle \Delta w~=~Cx\cdot w-w\cdot Cy.} BCM theory Contrastive Hebbian learning Generalized Hebbian algorithm Independent components analysis Principal...

Dreyfus model of skill acquisition – Model of learning Hebbian theory – Neuroscientific theory Homework – Educational practice Kata – Detailed choreographed...

been shown to interfere with the proper timing of critical periods. Hebbian theory guides the idea of activity-dependent competition: if two neurons both...

by lower levels of anaerobic energy provision in skeletal muscles. Hebbian theory Livingston, Churchill. "Chapter 36:Tetanic stimulation". Sultan Qaboos...