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Hebb’s rule

Hebb s rule, long-term potentiation (LTP) and experimental models of... [Pg.859]

Genetic engineering of smart mice is a more stringent test of Hebb s rule 866... [Pg.859]

These 49 words have formed what now is known as Hebb s Learning Rule. Although some minor modifications have been required over the years, the essence of Hebb s rule remains unchanged a memory is produced by coincident neural activity when two connected nerve cells are active simultaneously, the strength of their synaptic connection increases this confers a basis for the persistence of memory. [Pg.862]

The succession of stimulus and key fits perfectly into Hebb s rule if two neural events take place together or shortly one after the other, the two events are connected, i.e. their succession is learned. [Pg.75]

With the help of Hebb s rule the stimuli are directly connected with their attached keys so that any search for the correct key is superfluous. By this, a number of cycles are saved ... [Pg.75]

Initial evidence linking Hebb s coincidence detection rule to learning and memory 865... [Pg.859]

Initial evidence linking Hebb s coincidence detection rule to learning and memory. As the unique receptor in the brain with the coincidence-detection property, the NMDA receptor is an ideal candidate to gate the formation of memory at the synaptic level. Early observations demonstrated that infusion of NMDA receptor blockers into brain ventricles resulted in animals poor performance in the hidden-platform water maze. At first, this seemed to provide evidence for the role of hippocampal LTP in memory formation. Unfortunately, careful analyses revealed that poor performances in the water maze tests... [Pg.865]

Equation 10.49 embodies Hinton, et.al. s Boltzman Machine learning scheme. Notice that it consists of two different parts. The first part, < SiSj >ciamped) is essentially the same as the Hebb rule used in Hopfield s net (equation 10.19), and reinforces the connections that lead from input to output. The second part, < SiSj >free> Can be likened to a Hebbian unlearning, whereby poor associations are effectively unlearned. [Pg.535]


See other pages where Hebb’s rule is mentioned: [Pg.861]    [Pg.866]    [Pg.866]    [Pg.872]    [Pg.1018]    [Pg.135]    [Pg.861]    [Pg.866]    [Pg.866]    [Pg.872]    [Pg.1018]    [Pg.135]    [Pg.512]    [Pg.514]    [Pg.102]    [Pg.312]    [Pg.532]    [Pg.63]    [Pg.30]   
See also in sourсe #XX -- [ Pg.861 , Pg.865 ]

See also in sourсe #XX -- [ Pg.13 ]




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Hebb rule

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