Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
learning rule
|
| gptkbp:appliesTo |
gptkb:synaptic_plasticity
|
| gptkbp:describedBy |
gptkb:The_Organization_of_Behavior
|
| gptkbp:describedYear |
1949
|
| gptkbp:field |
gptkb:artificial_neural_networks
gptkb:machine_learning neuroscience |
| https://www.w3.org/2000/01/rdf-schema#label |
Hebbian learning
|
| gptkbp:influenced |
gptkb:Hopfield_networks
gptkb:self-organizing_maps unsupervised learning |
| gptkbp:mechanismOfAction |
correlated activity
synaptic weight increase |
| gptkbp:namedAfter |
gptkb:Donald_Hebb
|
| gptkbp:opposedBy |
anti-Hebbian learning
|
| gptkbp:principle |
cells that fire together wire together
|
| gptkbp:relatedTo |
gptkb:long-term_potentiation
associative learning spike-timing-dependent plasticity |
| gptkbp:type |
local learning rule
|
| gptkbp:usedIn |
gptkb:artificial_neural_networks
biological neural networks |
| gptkbp:bfsParent |
gptkb:convolutional_neural_network
gptkb:Boltzmann_machine |
| gptkbp:bfsLayer |
5
|