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Related Concept Videos

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...
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,...
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.
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

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:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
What is a Sensory System?01:31

What is a Sensory System?

Sensory systems detect stimuli—such as light and sound waves—and transduce them into neural signals that can be interpreted by the nervous system. In addition to external stimuli detected by the senses, some sensory systems detect internal stimuli—such as the proprioceptors in muscles and tendons that send feedback about limb position.

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Related Experiment Video

Updated: Jun 21, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Cortical circuits for perceptual inference.

Karl Friston1, Stefan Kiebel

  • 1The Wellcome Trust Centre of Neuroimaging, University College London, Queen Square, London, United Kingdom. k.friston@fil.ion.ucl.ac.uk

Neural Networks : the Official Journal of the International Neural Network Society
|July 29, 2009
PubMed
Summary
This summary is machine-generated.

This study proposes that the brain infers sensory input causes by optimizing internal world models. This computational approach explains perception and recognition dynamics in neural circuits.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cognitive Science

Background:

  • Cortical circuits are theorized to infer the causes of sensory input.
  • Understanding how the brain performs inference is a key challenge in neuroscience.
  • The brain models the world as a dynamic system with causal structures.

Purpose of the Study:

  • To investigate how the brain makes inferences by framing it as an optimization problem.
  • To explore the role of directed connections and neuronal message-passing in recognition dynamics.
  • To provide a principled specification for what neural circuits achieve.

Main Methods:

  • Casting inference as an optimization problem using a generic variational approach.
  • Developing equations for recognition dynamics based on a generative model of sensory data.
  • Utilizing a hierarchical and dynamical model for recognizing and predicting sensory sequences.
  • Reviewing models and their inversion under a variational free-energy formulation.

Main Results:

  • The proposed variational approach furnishes equations prescribing recognition dynamics.
  • Demonstrated that the brain possesses the necessary infrastructure for model inversion.
  • Simulations showed synthetic brains recognizing and predicting birdsongs, validating the model.

Conclusions:

  • Perception can be understood as the optimization or inversion of internal generative models.
  • Neuronal message-passing and directed connections support recognition dynamics.
  • The hierarchical and dynamical model successfully simulates sensory recognition and prediction.