Pages that link to "Item:Q5380672"
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The following pages link to Multisensory Bayesian Inference Depends on Synapse Maturation during Training: Theoretical Analysis and Neural Modeling Implementation (Q5380672):
Displaying 9 items.
- Hebbian mechanisms help explain development of multisensory integration in the superior colliculus: a neural network model (Q353855) (← links)
- Cross-sensory inhibition or unisensory facilitation: a potential neural architecture of modality switch effects (Q826920) (← links)
- Neurocomputational approaches to modelling multisensory integration in the brain: a review (Q889334) (← links)
- Inhibition, not excitation, is the key to multimodal sensory integration (Q937791) (← links)
- A theoretical study of multisensory integration in the superior colliculus by a neural network model (Q1932030) (← links)
- Comparing Bayesian models for simultaneity judgement with different causal assumptions (Q2244626) (← links)
- Bayesian networks and information theory for audio-visual perception modeling (Q2376501) (← links)
- Optimal multiple-information integration inherent in a ring neural network (Q2969898) (← links)
- Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli (Q5441739) (← links)
