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Related Concept Videos

Parallel Processing01:20

Parallel Processing

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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...
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Synesthesia is a remarkable condition where stimulation of one sensory or cognitive pathway leads to automatic, involuntary experiences in a second sensory or cognitive pathway. People with synesthesia experience a blending or crossing of their senses, such as sight and sound, leading to cross-modal sensations. In this condition, the stimulation of one sense, such as hearing a number or musical note, triggers an experience of another sense, like sensing a specific color, taste, or smell. People...
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Perception01:28

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
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Sensory Perception: Organization of the Somatosensory System01:11

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The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
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The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
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Introduction to Special Senses01:26

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Sensory receptors play an integral part in comprehending our external and internal environments. They receive diverse stimuli, converting them into the nervous system's electrochemical signals. This conversion occurs as the stimulus alters the sensory neuron's cell membrane potential, instigating the generation of an action potential. This action potential is subsequently transmitted to the central nervous system (CNS), which integrates with other sensory data or higher cognitive...
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Neural Encoding of Active Multi-Sensing Enhances Perceptual Decision-Making via a Synergistic Cross-Modal

Ioannis Delis1, Robin A A Ince2, Paul Sajda3,4

  • 1School of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom i.delis@leeds.ac.uk.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|January 29, 2022
PubMed
Summary
This summary is machine-generated.

Active sensing across multiple senses enhances neural processing and speeds up perceptual decisions. This multisensory approach reveals synergistic brain interactions crucial for real-world decision-making.

Keywords:
EEGactive sensingdrift diffusion modelmultisensory processingpartial information decompositionperceptual decision-making

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Sensory Perception

Background:

  • Perceptual decisions often involve integrating information from multiple senses during active exploration.
  • Neural mechanisms of multisensory integration during active sensing remain poorly understood.
  • How different sensory representations interact to form decisions is a key open question.

Purpose of the Study:

  • To investigate how the human brain processes multisensory information during active sensing for perceptual judgments.
  • To explore the neural underpinnings of active multisensory decision formation.
  • To identify neural interactions that predict multisensory decision-making performance.

Main Methods:

  • Employed an active sensing paradigm with electroencephalography (EEG) and multivariate analysis.
  • Utilized computational modeling, including a drift-diffusion model informed by neural data.
  • Applied information-theoretic methods to dissect interactions between unisensory and multisensory representations.

Main Results:

  • Multisensory active sensing enhanced the neural representation of movement patterns.
  • This enhancement led to faster and more accurate multisensory decisions.
  • A synergistic neural interaction between visual and haptic representations was identified in sensorimotor areas, predicting performance.

Conclusions:

  • Simultaneous active sensing across senses improves neural encoding and decision-making speed.
  • Neural representations of active sensing modulate evidence accumulation for decisions.
  • Cross-modal interactions in sensorimotor brain regions are critical for active multisensory perception.