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Related Concept Videos

Encoding01:19

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
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Parallel Processing01:20

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Related Experiment Video

Updated: Jun 14, 2026

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

Encoding of temporal probabilities in the human brain.

Domenica Bueti1, Bahador Bahrami, Vincent Walsh

  • 1Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, United Kingdom. domenica.bueti@googlemail.com

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|March 26, 2010
PubMed
Summary
This summary is machine-generated.

Predicting event timing involves brain-wide networks, including early visual processing areas. Neuronal activity dynamically reflects temporal expectations for visual events.

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Visual Processing

Background:

  • Anticipating future events requires representing elapsed time for predicting temporal probabilities.
  • Higher parietal and motor areas are implicated in temporal estimation, but the role of early sensory structures is debated.

Purpose of the Study:

  • To investigate the neural basis of temporal probability encoding for expected visual events.
  • To determine if early visual processing areas contribute to temporal expectation.

Main Methods:

  • Utilized a combination of neuropsychological, neuroimaging, magnetic stimulation, and single-unit recording techniques.
  • Analyzed neuronal activity in response to expected visual events.

Main Results:

  • Temporal probability of visual events is encoded by a distributed network, not a single area.
  • Neuronal populations in the earliest cortical stages of visual processing are involved.
  • Activity in these early visual areas dynamically changes in accordance with temporal expectations.

Conclusions:

  • Early visual processing areas play a crucial role in encoding temporal expectations.
  • Temporal prediction relies on a widespread neural network encompassing both early sensory and higher-order areas.