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Our perceptual systems overcome this problem by generating percepts based on information derived from multiple sensory sources.
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The software integrates procedural knowledge from disparate sources through an expert system shell, and uses multiple sensory channels to present and abstract contextual knowledge from the user regarding both the data and the task at hand.
And if the title might suggest that you are in for multiple sensory experiences, then it misleads.
Since sensory evidence for road boundaries might change from place to place, we cannot depend on a single cue but have to use multiple sensory features.
The orienting network corresponds to the ability to select specific information from among multiple sensory stimuli.
Perception is frequently cross-modal, involving interactions among stimuli in multiple sensory modalities.
The condition that makes people experience multiple sensory responses to a single sensory input is so linked to creativity -- and even transcendence -- that it's become a badge of sorts.
Instead, the initial sensory estimate could be determined via a process that takes direct input from multiple sensory modalities.
In principle, the VPI invention can be scaled up to include multiple partners and multiple sensory modalities.
Determining the simultaneity of events occurring in multiple sensory modalities is a conceptually challenging task.
Multiple sensory inputs drive this behavior.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com