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Related Concept Videos

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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...
Motor and Sensory Areas of the Cortex01:14

Motor and Sensory Areas of the Cortex

The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
Motor Areas
The motor areas located in the frontal lobe are central to controlling voluntary movements. This region is further subdivided into the primary motor cortex and the premotor cortex.
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Association Areas of the Cortex01:21

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

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Testing the model of caudo-rostral organization of cognitive control in the human with frontal lesions.

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Direct and Indirect Cooperation between Temporal and Parietal Networks for Invariant Visual Recognition.

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[Cortical response in age-related macular degeneration (part I). Methodology and subject specificities].

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Related Experiment Video

Updated: May 8, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

Dual Population Coding in the Neocortex: A Model of Interaction between Representation and Attention in the Visual

E Koechlin1, Y Burnod

  • 1Inserm-Creare, France.

Journal of Cognitive Neuroscience
|August 27, 2013
PubMed
Summary

This study presents a novel model for population coding, differentiating cell activity distribution for attribute encoding and overall activity for pertinence in the cerebral cortex. It models cognitive processes like attention within the visual cortex.

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Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
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Last Updated: May 8, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
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Published on: December 12, 2012

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • Population coding is a fundamental principle in neuroscience for representing information.
  • Existing models often focus on single attributes, limiting their application to complex sensory data.
  • The dual coding principle suggests separate neural mechanisms for information content and its significance.

Purpose of the Study:

  • To extend population coding principles to multidimensional attributes.
  • To differentiate between attribute encoding and attribute pertinence in neural activity.
  • To model cognitive processes such as attention within a unified framework.

Main Methods:

  • Developed a computational model distinguishing cell activity distribution (encoding) from overall population activity (pertinence).
  • Defined three interaction mechanisms between attribute representation and pertinence.
  • Applied the model to the motion (MT-MST) cortical pathway in the visual cortex.

Main Results:

  • The model successfully integrates attribute encoding and pertinence representation.
  • Identified three sources of pertinence: preattentive processing, spatial-selective attention, and object-selective attention.
  • The framework aligns with existing psychophysical, neurophysiological, and neuroanatomical data.

Conclusions:

  • The proposed dual coding model provides a comprehensive framework for understanding neural representations of multidimensional attributes and their significance.
  • The model offers testable predictions regarding attribute representation and attentional modulation in sensory cortices.
  • This approach enhances our understanding of how the brain processes complex information and directs cognitive resources.