hebbian learning

from The Free On-line Dictionary of Computing (8 July 2008)
Hebbian learning

   <artificial intelligence> The most common way to train a
   {neural network}; a kind of {unsupervised learning}; named
   after canadian neuropsychologist, Donald O. Hebb.

   The {algorithm} is based on Hebb's Postulate, which states
   that where one cell's firing repeatedly contributes to the
   firing of another cell, the magnitude of this contribution
   will tend to increase gradually with time.  This means that
   what may start as little more than a coincidental relationship
   between the firing of two nearby neurons becomes strongly
   causal.

   Despite limitations with Hebbian learning, e.g., the inability
   to learn certain patterns, variations such as {Signal Hebbian
   Learning} and {Differential Hebbian Learning} are still used.

   (http://neuron-ai.tuke.sk/NCS/VOL1/P3_html/node14.html).

   (2003-11-07)