Learning multisensory cue integration: a computational model of crossmodal synaptic plasticity enables reliability-based cue weighting by capturing stimulus statistics

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  • who: Danish Shaikh from the Wake Forest University, United States have published the Article: Learning multisensory cue integration: A computational model of crossmodal synaptic plasticity enables reliability-based cue weighting by capturing stimulus statistics, in the Journal: (JOURNAL)
  • what: The model is embodied in a simulated robotic agent that learns to localize an audiovisual target by integrating its spatial location, extracted from of auditory and visual sensory modalities. I simplify the model by removing the intramodal learning rules, such that the model only uses crossmodal learning rules to learn the synaptic weights for each modality . . .

     

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