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Related Concept Videos

Association Areas of the Cortex01:21

Association Areas of the Cortex

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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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Motor and Sensory Areas of the Cortex01:14

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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
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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...
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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Vision01:24

Vision

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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.
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Visual System01:26

Visual System

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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.
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Related Experiment Video

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Cross-Modal Multivariate Pattern Analysis
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Reward activates stimulus-specific and task-dependent representations in visual association cortices.

Anne-Marike Schiffer1, Timothy Muller2, Nick Yeung2

  • 1Department of Experimental Psychology, University of Oxford, Oxford OX1 3UD, United Kingdom, anne-marike.schiffer@psy.ox.ac.uk.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|November 21, 2014
PubMed
Summary

This study shows how the brain assigns credit for rewards. Post-reward brain activity in sensory areas reflects specific stimuli and task relevance, crucial for learning.

Keywords:
credit assignmentfMRIreward-related learningstimulus-specific postreward activation

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • Humans learn actions leading to rewards through credit assignment.
  • Previous functional magnetic resonance imaging (fMRI) studies suggest rewarded stimuli representations are activated upon reward delivery, acting as eligibility traces.
  • The precise neural mechanisms of credit assignment, particularly stimulus specificity and task dependency, remain incompletely understood.

Purpose of the Study:

  • To investigate post-reward activation in sensory cortices.
  • To determine if this activation meets criteria for credit assignment: stimulus specificity and task dependency.
  • To explore the role of sensory cortices in instrumental learning.

Main Methods:

  • Utilized fMRI to scan participants during two tasks: a perceptual decision-making task and an instructed response task.
  • Employed degraded face and house stimuli to assess stimulus specificity.
  • Analyzed psychophysiological interactions between sensory areas and nucleus accumbens activity.
  • Examined task dependency by varying the relevance of stimuli to the performed task.

Main Results:

  • Post-reward activation in sensory cortices demonstrated stimulus specificity, with face-sensitive areas activated more after face decisions and house-sensitive areas after house decisions.
  • Stimulus specificity was further supported by correlations between sensory areas and nucleus accumbens activity based on decision type.
  • Task dependency was confirmed as rewards activated relevant association cortices more when stimuli were pertinent to the task.
  • These findings were independent of bottom-up perceptual processing.

Conclusions:

  • Post-reward sensory cortex activity fulfills key criteria for credit assignment: stimulus specificity and task dependency.
  • This study provides the first evidence for these credit assignment mechanisms in sensory cortices.
  • Findings contribute to understanding the neural basis of instrumental learning and decision-making.