Contrastive Hebbian learning is a biologically plausible form of Hebbian learning. It is based on the contrastive divergence algorithm, which has been...

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

employs other methods including: Hopfield learning rule, Boltzmann learning rule, Contrastive Divergence, Wake Sleep, Variational Inference, Maximum Likelihood...

been developed since the 1980s and modify the traditional a priori Hebbian learning model with both biological and experimental justification. Still, others...

algorithm for error-driven learning. The symmetric, midpoint version of GeneRec is equivalent to the contrastive Hebbian learning algorithm (CHL). Leabra...

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

midpoint version of GeneRec is used, which is equivalent to the contrastive Hebbian learning algorithm (CHL). See O'Reilly (1996; Neural Computation) for...

Boltzmann machines are theoretically intriguing because of the locality and Hebbian nature of their training algorithm (being trained by Hebb's rule), and...

[citation needed] Errorless learning can also be understood at a synaptic level, using the principle of Hebbian learning ("Neurons that fire together...

matrix. The weights are adjusted according to some learning rule or algorithm, such as Hebbian learning. Most of the variety among the models comes from:...

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

STDP is now widely regarded as a key biological mechanism supporting Hebbian learning, particularly during development, where it is thought to refine neural...

a learning hypothesis based on the mechanism of neural plasticity that became known as Hebbian learning. Hebbian learning is unsupervised learning. This...

whose middle layer contains recurrent connections that change by a Hebbian learning rule.: 73–75  Later, in Principles of Neurodynamics (1961), he described...

conditioning. The Hebbian mechanisms contribute to plasticity in the lateral amygdala and fear learning. Other modulators apart from the Hebbian mechanisms include...

potentiation, the neural mechanism for Hebbian learning, allows for memory formation at the pyramidal cell level. Hebbian learning is thus essentially the phenomenon...

rates of the culture drop. In contrast, there is a wealth of evidence that the opposite form of regulation, Hebbian learning or LTP-IE/LTD-IE, also occurs...

basis for learning, respiration, and locomotion, in contrast to the Hebbian plasticity associated with learning and memory. Although Hebbian forms of plasticity...

In contrast, a number of theoretical accounts argue that mirror neurons could simply emerge due to learned associations, including the Hebbian theory...

learning through both pre- and postsynaptic mechanisms. LTP is a form of Hebbian learning, which proposed that high-frequency, tonic activation of a circuit...

and synaptic plasticity obey the Hebbian rule. Stroop effect Suzuki, Wendy A. (February 2005). "Associative Learning and the Hippocampus". Psychological...

the time integral of free energy (free action) reduces to associative or Hebbian plasticity and is associated with synaptic plasticity in the brain. Optimizing...

Scheler G. (2017). "Logarithmic distributions prove that intrinsic learning is Hebbian". F1000Research. 6: 1222. doi:10.12688/f1000research.12130.2. PMC 5639933...

synthetic intelligence. Timeline of machine translation Timeline of machine learning Please see Mechanical calculator#Other calculating machines Please see:...

"A framework for mesencephalic dopamine systems based on predictive Hebbian learning". The Journal of Neuroscience. 16 (5): 1936–47. doi:10.1523/JNEUROSCI...

discussed in The organization of behavior (Hebb, 1949) and is now known as Hebbian learning. In 1945, Justo Gonzalo concluded from his research on brain dynamics...

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

(composed 1895). The first rule of neuronal learning was described by Hebb in 1949, in the Hebbian theory. Thus, Hebbian pairing of pre-synaptic and post-synaptic...

speech mirror mechanisms in infants. This chain of events allows for Hebbian learning of the meaning of verbal labels by linking the speech and action controllers...

theory. Another distinction of reversal theory is its direct contrast with the Hebbian version of the Yerkes–Dodson law of arousal, which can be found...