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

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...

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

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

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...

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

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

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

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:...

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

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...

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

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...

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

and then later transferred to the neocortex during sleep. Sharp waves in Hebbian theory are seen as persistently repeated stimulations by presynaptic cells...

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...

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

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

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

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

association between the row item and the column item. Learning of associations is generally believed to be a Hebbian process, where whenever two items in memory...

(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...

hypothesized to be associated with the methylation of specific genes. Hebbian theory Long-term potentiation Long-term depression NMDA receptor GABA receptor...

"Hebbian learning" model of learning and memory—an idea he first conceived in 1920 prior to his study of economics. Hayek's expansion of the "Hebbian synapse"...