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Related Concept Videos

Implicit Memories01:24

Implicit Memories

Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...
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...
Cognitive Learning01:21

Cognitive Learning

Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Observational Learning01:12

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning because...
Subliminal Perception01:15

Subliminal Perception

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Related Experiment Video

Updated: May 27, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task
10:39

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

The neural basis of implicit perceptual sequence learning.

Freja Gheysen1, Filip Van Opstal, Chantal Roggeman

  • 1Department of Experimental Psychology, Ghent University Ghent, Belgium.

Frontiers in Human Neuroscience
|November 17, 2011
PubMed
Summary

This study reveals two brain systems for implicit sequence learning: the caudate nucleus and hippocampus. The caudate learns gradually for both perceptual and motor tasks, while the hippocampus learns faster, especially for motor skills.

Keywords:
caudate nucleusfMRIhippocampusimplicit sequence learningmotor sequence learningperceptual sequence learning

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neuroimaging

Background:

  • Implicit sequence learning involves acquiring information without conscious awareness.
  • Understanding the neural basis of different learning systems is crucial for cognitive neuroscience.
  • Previous research has explored perceptual and motor learning separately.

Purpose of the Study:

  • To investigate the neural mechanisms underlying implicit perceptual sequence learning using fMRI.
  • To compare the neural time course of perceptual sequence learning with previously studied motor sequence learning.
  • To elucidate the distinct functional roles of the caudate nucleus and hippocampus in implicit learning.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed to monitor brain activity.
  • A perceptual serial color matching task was used to assess sequence learning.
  • Behavioral and neural data were analyzed to track the learning process over time.

Main Results:

  • Two distinct neural systems, the caudate nucleus and hippocampus, support implicit sequence learning.
  • The caudate nucleus showed gradual learning for both perceptual and motor sequences.
  • The hippocampus exhibited faster learning, more prominent in motor tasks compared to perceptual tasks.

Conclusions:

  • Implicit sequence learning involves at least two systems with different operating principles: the caudate and hippocampus.
  • Consciousness is not the primary factor differentiating these learning systems.
  • This study provides novel insights into the specific roles of the hippocampus and caudate in perceptual and motor implicit sequence learning.