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

Neuroplasticity01:01

Neuroplasticity

344
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.
344
Somatosensation01:33

Somatosensation

36.6K
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.
36.6K
Major Somatic Sensory Pathways01:28

Major Somatic Sensory Pathways

951
Sensory impulses related to touch, pressure, vibration, and proprioception from various body parts, such as the limbs, trunk, neck, and posterior head, travel to the cerebral cortex through the posterior column-medial lemniscus pathway. The pathway’s name derives from the two white-matter tracts that convey the impulses: the spinal cord's posterior column and the brainstem's medial lemniscus. First-order sensory neurons extend their axons into the spinal cord, forming the...
951

You might also read

Related Articles

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

Sort by
Same author

Neuromorphic hierarchical modular reservoirs.

Nature communications·2026
Same author

Human learning of noninvasive brain-computer interfaces via manifold geometry.

Nature neuroscience·2026
Same author

Modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms.

eLife·2026
Same author

Evolutionarily conserved neural dynamics across mice, monkeys, and humans.

bioRxiv : the preprint server for biology·2026
Same author

The spatiotemporal structure of neural activity in motor cortex during reaching.

bioRxiv : the preprint server for biology·2025
Same author

Accelerated learning of a noninvasive human brain-computer interface via manifold geometry.

bioRxiv : the preprint server for biology·2025

Related Experiment Video

Updated: Jun 29, 2025

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke
08:01

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Published on: July 10, 2014

11.5K

Assistive sensory-motor perturbations influence learned neural representations.

Pavithra Rajeswaran1, Alexandre Payeur2,3, Guillaume Lajoie2,3

  • 1University of Washington, Bioengineering, Seattle, 98115, USA.

Biorxiv : the Preprint Server for Biology
|April 2, 2024
PubMed
Summary

Adaptive Brain-Computer Interfaces (BCIs) concentrate neural information into fewer neurons during motor skill learning. This study reveals how assistive decoders shape neural representations and motor learning processes.

More Related Videos

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

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior

Published on: December 2, 2022

1.7K
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.5K

Related Experiment Videos

Last Updated: Jun 29, 2025

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke
08:01

Compensatory Limb Use and Behavioral Assessment of Motor Skill Learning Following Sensorimotor Cortex Injury in a Mouse Model of Ischemic Stroke

Published on: July 10, 2014

11.5K
Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior
05:05

Assessing Corticospinal Excitability During Goal-Directed Reaching Behavior

Published on: December 2, 2022

1.7K
Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback
05:43

Applying Incongruent Visual-Tactile Stimuli during Object Transfer with Vibro-Tactile Feedback

Published on: May 23, 2019

5.5K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Robotics

Background:

  • Motor skill acquisition relies on learning from task errors.
  • Brain-Computer Interfaces (BCIs) translate neural activity into movement commands.
  • Understanding how BCIs influence neural plasticity is crucial for effective neuroprosthetics.

Purpose of the Study:

  • To investigate the impact of adaptive decoder assistance on neural representations during motor learning.
  • To explore how task-relevant information is encoded in the motor cortex under BCI use.
  • To elucidate the role of assistive decoders in neural plasticity and motor adaptation.

Main Methods:

  • Analysis of motor cortex activity in monkeys performing BCI tasks.
  • Utilizing adaptive decoders that adjust to improve or maintain BCI performance over time.
  • Employing a neural network model to simulate and understand the observed neural changes.

Main Results:

  • Task-relevant neural information became concentrated in fewer neurons with adaptive decoders.
  • Population-level task information was confined to a small number of neural modes.
  • Adaptive decoders were shown to directly contribute to forming compact neural representations.

Conclusions:

  • Assistive decoders actively shape neural representations during motor learning by influencing error-based learning signals.
  • Findings provide insights into neural credit assignment mechanisms and motor adaptation.
  • This research has significant implications for the design and optimization of future Brain-Computer Interfaces.