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- Ojas_rule abstract "Oja's learning rule, or simply Oja's rule, named after Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificial neural networks change connection strength, or learn, over time. It is a modification of the standard Hebb's Rule (see Hebbian learning) that, through multiplicative normalization, solves all stability problems and generates an algorithm for principal components analysis. This is a computational form of an effect which is believed to happen in biological neurons.".
- Ojas_rule wikiPageExternalLink oja.
- Ojas_rule wikiPageExternalLink Oja_learning_rule.
- Ojas_rule wikiPageID "9617564".
- Ojas_rule wikiPageLength "13266".
- Ojas_rule wikiPageOutDegree "35".
- Ojas_rule wikiPageRevisionID "707616556".
- Ojas_rule wikiPageWikiLink Activation_function.
- Ojas_rule wikiPageWikiLink Alan_Turing.
- Ojas_rule wikiPageWikiLink Artificial_neural_network.
- Ojas_rule wikiPageWikiLink BCM_theory.
- Ojas_rule wikiPageWikiLink Big_O_notation.
- Ojas_rule wikiPageWikiLink Binocular_vision.
- Ojas_rule wikiPageWikiLink Biophysics.
- Ojas_rule wikiPageWikiLink Cartesian_coordinate_system.
- Ojas_rule wikiPageWikiLink Category:Artificial_neural_networks.
- Ojas_rule wikiPageWikiLink Category:Biophysics.
- Ojas_rule wikiPageWikiLink Category:Neural_networks.
- Ojas_rule wikiPageWikiLink Category:Neuroscience.
- Ojas_rule wikiPageWikiLink Convolution.
- Ojas_rule wikiPageWikiLink Eigenvalues_and_eigenvectors.
- Ojas_rule wikiPageWikiLink Erkki_Oja.
- Ojas_rule wikiPageWikiLink Euclidean_vector.
- Ojas_rule wikiPageWikiLink Generalized_Hebbian_Algorithm.
- Ojas_rule wikiPageWikiLink Hebbian_theory.
- Ojas_rule wikiPageWikiLink Independent_component_analysis.
- Ojas_rule wikiPageWikiLink Long-term_depression.
- Ojas_rule wikiPageWikiLink Long-term_potentiation.
- Ojas_rule wikiPageWikiLink Lyapunov_function.
- Ojas_rule wikiPageWikiLink Neural_backpropagation.
- Ojas_rule wikiPageWikiLink Power_series.
- Ojas_rule wikiPageWikiLink Principal_component_analysis.
- Ojas_rule wikiPageWikiLink Self-organizing_map.
- Ojas_rule wikiPageWikiLink Synaptic_plasticity.
- Ojas_rule wikiPageWikiLink Variance.
- Ojas_rule wikiPageWikiLink Without_loss_of_generality.
- Ojas_rule wikiPageWikiLinkText "Oja's rule".
- Ojas_rule wikiPageUsesTemplate Template:=.
- Ojas_rule wikiPageUsesTemplate Template:Math.
- Ojas_rule wikiPageUsesTemplate Template:Reflist.
- Ojas_rule wikiPageUsesTemplate Template:Unicode.
- Ojas_rule subject Category:Artificial_neural_networks.
- Ojas_rule subject Category:Biophysics.
- Ojas_rule subject Category:Neural_networks.
- Ojas_rule subject Category:Neuroscience.
- Ojas_rule hypernym Model.
- Ojas_rule type Person.
- Ojas_rule type Biophysic.
- Ojas_rule type Network.
- Ojas_rule comment "Oja's learning rule, or simply Oja's rule, named after Finnish computer scientist Erkki Oja, is a model of how neurons in the brain or in artificial neural networks change connection strength, or learn, over time. It is a modification of the standard Hebb's Rule (see Hebbian learning) that, through multiplicative normalization, solves all stability problems and generates an algorithm for principal components analysis.".
- Ojas_rule label "Oja's rule".
- Ojas_rule sameAs Q7081581.
- Ojas_rule sameAs m.02pl_kv.
- Ojas_rule sameAs Q7081581.
- Ojas_rule wasDerivedFrom Ojas_rule?oldid=707616556.
- Ojas_rule isPrimaryTopicOf Ojas_rule.