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Related Experiment Video

Updated: May 9, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

Human decision making based on variations in internal noise: an EEG study.

Sygal Amitay1, Jeanne Guiraud, Ediz Sohoglu

  • 1Medical Research Council Institute of Hearing Research, Nottingham, United Kingdom. Sygal@ihr.mrc.ac.uk

Plos One
|July 11, 2013
PubMed
Summary
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Internal neural noise, from sensory and cognitive sources, can drive perceptual decisions even with identical stimuli. This internal noise is sufficient for decision-making when external signals lack information.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Auditory Perception

Background:

  • Perceptual decision-making is susceptible to errors, particularly near sensory thresholds.
  • Internal neural noise, originating from both bottom-up (sensory) and top-down (cognitive) processes, is a key factor contributing to these errors.
  • Previous research suggests internal noise influences perception, but its sufficiency in driving decisions under specific conditions remains debated.

Purpose of the Study:

  • To investigate whether internal neural noise alone is sufficient to drive perceptual decision-making.
  • To examine the role of internal noise in discriminating identical auditory stimuli.
  • To explore the relationship between neural activity, internal noise, and behavioral choices.

Main Methods:

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Related Experiment Videos

Last Updated: May 9, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
11:15

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks
06:57

Utilizing Electroencephalography Measurements for Comparison of Task-Specific Neural Efficiencies: Spatial Intelligence Tasks

Published on: August 9, 2016

  • Recorded electroencephalographic (EEG) activity in human listeners discriminating between identical auditory tones.
  • Controlled the external acoustic signal to be constant, isolating the influence of internal noise.
  • Analyzed early cortical responses (global field power and topography) and pre-stimulus activity in relation to perceptual decisions.
  • Main Results:

    • Early cortical responses to identical stimuli showed variations in global field power and topography that correlated with the perceptual decision made.
    • Neural activity preceding stimulus presentation successfully predicted subsequent brain activity and the listener's behavioral decision.
    • These findings demonstrate that internal noise significantly influences perceptual outcomes.

    Conclusions:

    • Internal neural noise, encompassing both sensory and cognitive origins, can adequately drive perceptual discrimination judgments.
    • Variations in neural activity stemming from internal noise are sufficient to explain decision-making, even when external sensory information is ambiguous or absent.
    • This study highlights the critical role of intrinsic neural variability in shaping perception and decision-making processes.