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/*
 * Copyright (c) 2010-2021 Haifeng Li. All rights reserved.
 *
 * Smile is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * Smile is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with Smile.  If not, see .
 */

/**
 * Hebbian theory is a neuroscientific theory claiming that an increase in
 * synaptic efficacy arises from a presynaptic cell's repeated and persistent
 * stimulation of a postsynaptic cell. It is an attempt to explain synaptic
 * plasticity, the adaptation of brain neurons during the learning process.
 * It was introduced by Donald Hebb in his 1949 book The Organization of
 * Behavior.
 * 

* The theory is often summarized as "Cells that fire together wire together." * This summary, however, should not be taken too literally. Hebb emphasized * that cell A needs to "take part in firing" cell B, and such causality can * occur only if cell A fires just before, not at the same time as, cell B. * This important aspect of causation in Hebb's work foreshadowed what is * now known about spike-timing-dependent plasticity, which requires temporal * precedence. *

* The theory attempts to explain associative or Hebbian learning, in which * simultaneous activation of cells leads to pronounced increases in synaptic * strength between those cells. In the study of neural networks in cognitive * function, it is often regarded as the neuronal basis of unsupervised * learning. * * @author Haifeng Li */ package smile.vq.hebb;





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