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

DOI10.1016/j.neunet.2014.08.003zbMath1325.92021OpenAlexW2015516901WikidataQ38248927 ScholiaQ38248927MaRDI QIDQ889334

Cristiano Cuppini, Elisa Magosso, Mauro Ursino

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2014.08.003

zbMATH Keywords

inverse effectiveness principleauto-associative and hetero-associative networksBayesian and biologically inspired modelsfeedforward and feedback architecturesmultisensory enhancement and suppressionsynaptic learning mechanisms

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

Cross-sensory inhibition or unisensory facilitation: a potential neural architecture of modality switch effects ⋮ The role of context in experiments and models of multisensory decision making ⋮ Multisensory Bayesian Inference Depends on Synapse Maturation during Training: Theoretical Analysis and Neural Modeling Implementation

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