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Volumn 23, Issue 17, 2003, Pages 6713-6727

A two-stage unsupervised learning algorithm reproduces multisensory enhancement in a neural network model of the corticotectal system

Author keywords

Anti Hebbian learning; Corticotectal system; Hebbian learning; Multisensory integration; Neural network model; Self organization; Superior colliculus; Unsupervised learning

Indexed keywords

ALGORITHM; ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; CELL SURVIVAL; CONTROLLED STUDY; LEARNING; NERVE CELL NETWORK; NONHUMAN; PARIETAL LOBE; PRETECTUM; PRIORITY JOURNAL; REPRODUCIBILITY; SENSORY NERVE CELL; SENSORY STIMULATION; STIMULUS RESPONSE; SUPERIOR COLLICULUS; TARGET CELL; TASK PERFORMANCE;

EID: 0042133383     PISSN: 02706474     EISSN: None     Source Type: Journal    
DOI: 10.1523/jneurosci.23-17-06713.2003     Document Type: Article
Times cited : (33)

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