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

Parallel Processing01:20

Parallel Processing

914
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...
914
Perception01:28

Perception

1.8K
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
1.8K
Neuroplasticity01:01

Neuroplasticity

2.6K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
2.6K
Somatosensation01:33

Somatosensation

45.9K
The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
45.9K
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

5.1K
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...
5.1K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

6.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
6.9K

You might also read

Related Articles

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

Sort by
Same author

Cervical spinal cord stimulation disrupts proprioception yet improves voluntary arm reaching.

bioRxiv : the preprint server for biology·2026
Same author

Arm dominance is an emergent effect of practice executing complex trajectory shapes required by tools and objects.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Perceptual consciousness probably did not evolve for model-based planning.

The Behavioral and brain sciences·2026
Same author

Novel tool use does not depend on mechanical reasoning: evidence from apraxia.

bioRxiv : the preprint server for biology·2026
Same author

Spinal cord stimulation for upper limb motor function in people with chronic post-stroke hemiparesis: a feasibility trial.

Nature medicine·2026
Same author

Large language models and emergence: a complex systems perspective.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same journal

Population codes for context-dependent decision-making.

Current opinion in neurobiology·2026
Same journal

Cichlid fish as a model for understanding social dysfunction.

Current opinion in neurobiology·2026
Same journal

On aims and methods in field neuroethology: Investigating neural mechanisms of behavior in semi-natural and natural contexts.

Current opinion in neurobiology·2026
Same journal

Neurobiological interfaces connecting environmental change to monarch butterfly migration.

Current opinion in neurobiology·2026
Same journal

Learning how to experience the world: From circuits to cell types to genes.

Current opinion in neurobiology·2026
Same journal

Editorial overview for neurobiology of disease 2026.

Current opinion in neurobiology·2026
See all related articles

Related Experiment Video

Updated: Apr 15, 2026

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior
05:05

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior

Published on: December 2, 2022

2.1K

Dual-process decomposition in human sensorimotor adaptation.

David M Huberdeau1, John W Krakauer2, Adrian M Haith3

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States.

Current Opinion in Neurobiology
|April 2, 2015
PubMed
Summary
This summary is machine-generated.

Human sensorimotor adaptation involves two distinct learning systems. One system learns slowly and implicitly, while the other learns rapidly and explicitly, with unique characteristics influencing motor control.

More Related Videos

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.8K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.5K

Related Experiment Videos

Last Updated: Apr 15, 2026

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior
05:05

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior

Published on: December 2, 2022

2.1K
Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation
08:04

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

8.8K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.5K

Area of Science:

  • Neuroscience
  • Motor Control
  • Human Learning

Background:

  • Sensorimotor adaptation in humans is influenced by multiple, distinct learning processes.
  • Identifying and characterizing these individual processes is challenging due to observing only their summed contribution.
  • Differential susceptibility to experimental manipulations offers a strategy for decomposing adaptation components.

Purpose of the Study:

  • To identify and characterize the distinct learning processes contributing to human sensorimotor adaptation.
  • To decompose the complex adaptation process into its fundamental constituent components.

Main Methods:

  • Utilized experimental manipulations to exploit differential susceptibility of learning systems.
  • Analyzed behavioral data to infer the properties of individual learning processes.

Main Results:

  • Identified two fundamental systems contributing to sensorimotor adaptation.
  • Characterized a slow, implicit system: temporally stable, expressible at low reaction times, and experience-independent.
  • Characterized a rapid, explicit system: requiring long preparation, and exhibiting long-term memory.

Conclusions:

  • Sensorimotor adaptation results from the interaction of at least two distinct learning systems.
  • These systems differ in learning speed, awareness (implicit vs. explicit), temporal stability, and memory.
  • Understanding these distinct systems advances knowledge of motor learning and control.