Visual Stimulus Processing
Visual Stimulus Processing - Related Videos
09:52
How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners
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Cited by 2 •
2018
This protocol describes key steps involved in assessing the sensitivity of the brain of one person to the stimulus processing of a close other by selecting pairs of partners, recording their electroencephalogram (EEG) simultaneously and computing their event-related brain potentials (ERPs).
09:27
Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes
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2024
We present a protocol that employs eye tracking to monitor eye movements during an interval comparison (duration perception) task based on visual events. The aim is to provide a preliminary guide to separate oculomotor responses to duration perception tasks (comparison or discrimination of time intervals) from responses to the stimulus itself.
09:42
Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
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Cited by 1 •
2019
In this paper, we present a protocol to investigate differential cortical visual evoked potential morphological patterns through stimulation of ventral and dorsal networks using high-density EEG. Visual object and motion stimulus paradigms, with and without temporal jitter, are described. Visual evoked potential morphological analyses are also...
09:47
A Method to Quantify Visual Information Processing in Children Using Eye Tracking
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Cited by 41 •
2016
A method is described to quantify the quality of visual information processing based on reflexive eye movements in response to specific visual modalities. Reaction times and fixation output parameters are used to characterize visual performance in children with and without visual impairments from 6 months of age.
09:49
Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
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Cited by 7 •
2014
It is unclear how top-down signals from the ventral visual stream affect movement. We developed a paradigm to test motor behavior towards a target on a 3D depth inversion illusion. Significant differences are reported in both deliberate, goal-directed movements and automatic actions under illusory and veridical viewing conditions.
FAQs
Photoreceptors first convert incoming light patterns into electrical signals. Retinal circuits then refine those signals before retinal ganglion cells transmit them through the optic nerve. This intermediate processing prevents the brain from receiving an unorganized copy of the visual scene and helps create signals suitable for analyzing features such as contrast, color, motion, and spatial relationships.
Retinal ganglion cells provide the principal output of the retinal network described in the overview. Their signals travel along the optic nerve to visual regions of the brain, where further neural networks analyze and organize visual information. This pathway connects early light detection with higher-level representations that can support perception and visually guided behavior.
Visual neural networks analyze different properties of an incoming scene, including contrast, color, motion, and the spatial relationships among visual elements. These analyses transform electrical activity into representations that carry information about the external world. Examining these feature-specific operations helps neuroscientists study how sensory coding contributes to visual perception and behavior.
Attention is an important research context because visual processing does not end with the transmission of retinal signals to the brain. Neural operations must be considered in relation to how visual information supports perception and visually guided behavior. Studying attention alongside sensory coding can therefore clarify how visual representations contribute to the way organisms use available information.
Investigating this process allows neuroscientists to connect activity at several levels, from photoreceptors and retinal circuits to retinal ganglion cells and visual brain regions. This integrated view can clarify how sensory signals become meaningful representations, how visual information supports behavior, and how neural operations contribute to broader questions about brain function.
Research on visual stimulus processing provides a framework for examining visual disorders by identifying how operations across the retina, optic nerve, and visual brain regions support normal function. The same principles can inform artificial vision systems, which seek to represent features such as contrast, color, motion, and spatial relationships in ways relevant to visual information processing.