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Volumn 60, Issue , 2014, Pages 141-165

Neurocomputational approaches to modelling multisensory integration in the brain: A review

Author keywords

Auto associative and hetero associative networks; Bayesian and biologically inspired models; Feedforward and feedback architectures; Inverse effectiveness principle; Multisensory enhancement and suppression; Synaptic learning mechanisms

Indexed keywords

BAYESIAN NETWORKS; BIOMIMETICS; BRAIN; CONFORMAL MAPPING; INTEGRATION; LEARNING SYSTEMS; MEMORY ARCHITECTURE; NETWORK ARCHITECTURE; OBJECT RECOGNITION; PSYCHOPHYSIOLOGY; SELF ORGANIZING MAPS;

EID: 84907537291     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2014.08.003     Document Type: Article
Times cited : (60)

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