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Related Concept Videos

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a problem,...
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
Perceptual Constancy01:12

Perceptual Constancy

Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...

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Related Experiment Video

Updated: Jun 5, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Cross-modal detection using various temporal and spatial configurations.

James A Schirillo1

  • 1Department of Psychology, Wake Forest University, Winston-Salem, NC 27109, USA. schirija@wfu.edu

Attention, Perception & Psychophysics
|January 25, 2011
PubMed
Summary
This summary is machine-generated.

Visual stimuli can enhance auditory target detection, especially when presented shortly before or simultaneously with the sound. This cross-modal interaction, influenced by timing and location, impacts both sensory sensitivity and decision-making processes.

Related Experiment Videos

Last Updated: Jun 5, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Auditory Perception

Background:

  • Cross-modal interactions between vision and audition are crucial for sensory processing.
  • Understanding how temporal and spatial factors influence these interactions is key to deciphering sensory integration.

Purpose of the Study:

  • To investigate the temporal and spatial dynamics of cross-modal interactions between visual and auditory stimuli.
  • To determine how irrelevant visual stimuli affect auditory target detection across varying stimulus onset asynchronies (SOAs) and spatial locations.

Main Methods:

  • Two signal detection experiments were conducted.
  • Experiment 1: Measured auditory target detection with varying SOAs (0 to ±700 ms) between auditory targets and irrelevant visual stimuli.
  • Experiment 2: Assessed auditory target detection at different visual eccentricities (±8°, ±24°).

Main Results:

  • Auditory detection improved when visual stimuli preceded or coincided with auditory targets, particularly at low signal-to-noise ratios (SNRs).
  • Larger SOAs (350, 700 ms) altered both sensitivity (d') and response criterion (β).
  • Spatial location influenced benefits, with greater effects at more peripheral visual fields.

Conclusions:

  • Both temporal and spatial aspects of visual stimuli significantly modulate auditory signal detection.
  • These findings suggest that cross-modal interactions effectively parse sensory and decision-making components.
  • The study highlights the complex interplay between sensory input and response strategies in multisensory environments.