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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...
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,...
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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.

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Related Experiment Video

Updated: Jun 28, 2026

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

Reconciling predictive coding and biased competition models of cortical function.

Michael W Spratling1

  • 1Division of Engineering, King's College London London, UK. michael.spratling@kcl.ac.uk

Frontiers in Computational Neuroscience
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

A simple variation of the biased competition model is mathematically identical to predictive coding. This shows these rival theories of cortical function are minor variations of the same model.

Keywords:
biased competitioncortical circuitscortical feedbackneural networkspredictive coding

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Related Experiment Videos

Last Updated: Jun 28, 2026

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

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • Biased competition and predictive coding are influential theories explaining cortical function.
  • These models offer competing explanations for information processing in the brain.

Purpose of the Study:

  • To demonstrate the mathematical equivalence between a specific implementation of the biased competition model and linear predictive coding.
  • To reconcile these two prominent theories of cortical processing.

Main Methods:

  • Mathematical analysis and manipulation of the standard biased competition model.
  • Comparison of the derived equations with the linear predictive coding model.

Main Results:

  • A specific variant of the biased competition model, utilizing inhibitory targeting of cortical inputs, was shown to be mathematically equivalent to linear predictive coding.
  • The core mathematical structures underlying both models are fundamentally similar.

Conclusions:

  • Biased competition and predictive coding are not distinct rival theories but rather represent variations of the same underlying mathematical framework.
  • This finding simplifies our understanding of cortical computation and suggests a unified approach to modeling brain function.