Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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.
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
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,...
Integration of Synaptic Events01:28

Integration of Synaptic Events

Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Sense of agency and decision making.

Frontiers in psychology·2026
Same author

Sense of agency and addiction.

Frontiers in psychology·2026
Same author

Is there a criterion in criterial learning? Insights from studying feedback delays.

Journal of experimental psychology. Learning, memory, and cognition·2026
Same author

Context modulates brain state dynamics and behavioral responses during narrative comprehension.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Context modulates brain state dynamics and behavioral responses during narrative comprehension.

bioRxiv : the preprint server for biology·2025
Same author

Just do it: A neuropsychological theory of agency, cognition, mood, and dopamine.

Journal of experimental psychology. General·2024

Related Experiment Video

Updated: Jun 4, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Cortical and striatal contributions to automaticity in information-integration categorization.

Jennifer G Waldschmidt1, F Gregory Ashby

  • 1University of California, Santa Barbara, CA 93106, USA.

Neuroimage
|February 15, 2011
PubMed
Summary

Procedural learning in information-integration tasks shows developing automaticity between training sessions 10 and 20. Early learning involves the putamen, while automatic performance shifts to cortical motor areas.

More Related Videos

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
05:35

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Published on: April 19, 2017

Related Experiment Videos

Last Updated: Jun 4, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization
05:35

Experience is Instrumental in Tuning a Link Between Language and Cognition: Evidence from 6- to 7- Month-Old Infants' Object Categorization

Published on: April 19, 2017

Area of Science:

  • Cognitive Neuroscience
  • Neurobiology of Learning

Background:

  • Information-integration categorization requires pre-decisional integration of stimulus components for maximal accuracy.
  • Procedural learning, primarily mediated by the striatum, is crucial for success in information-integration tasks.
  • The development of automaticity in information-integration tasks remains under-investigated.

Purpose of the Study:

  • To investigate the neural mechanisms underlying the development of automaticity in information-integration categorization.
  • To delineate the brain regions involved in pre-automatic versus automatic performance stages.

Main Methods:

  • Ten human participants underwent extensive feedback training (over 11,000 trials) across 20 sessions.
  • Functional magnetic resonance imaging (fMRI) was employed during sessions 2, 4, 10, and 20 to monitor brain activity.
  • Analysis focused on changes in neural activation patterns correlating with learning progression and automaticity.

Main Results:

  • Automaticity in information-integration tasks emerged between training sessions 10 and 20.
  • Pre-automatic performance was associated with activity in the putamen, excluding the caudate nucleus.
  • Fully automatic performance relied on cortical regions, specifically the supplementary and pre-supplementary motor areas.
  • Feedback processing led to deactivations in motor, premotor, and ventral lateral prefrontal cortex.

Conclusions:

  • The development of automaticity in information-integration tasks involves a transition from striatal to cortical control.
  • Practice significantly shapes the neural substrates supporting procedural learning and task automaticity.
  • Findings align with established literature on the neurobiology of automaticity development.