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

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.
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...
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

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.
Major Somatic Sensory Pathways01:28

Major Somatic Sensory Pathways

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 posterior columns...
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
Direct Motor Pathways01:11

Direct Motor Pathways

The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and the...

You might also read

Related Articles

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

Sort by
Same author

Mixed-selective organization of reach and grasp in the primate fronto-parietal network.

Progress in neurobiology·2026
Same author

Computer vision for primate behavior analysis in the wild.

Nature methods·2025
Same author

Accurate neural control of a hand prosthesis by posture-related activity in the primate grasping circuit.

Neuron·2024
Same author

Modeling proprioception with task-driven neural network models.

Neuron·2024
Same author

A Comparison of PKD2L1-Expressing Cerebrospinal Fluid Contacting Neurons in Spinal Cords of Rodents, Carnivores, and Primates.

International journal of molecular sciences·2023
Same author

Social disappointment and partner presence affect long-tailed macaque refusal behaviour in an 'inequity aversion' experiment.

Royal Society open science·2023
Same journal

Does stimulus preceding negativity reflect predictions in a somatosensory roving paradigm?

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Temporal Dynamics of EEG Reflect Continuous Error Correction During Force Control.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Frontoparietal Hub Connectivity Integrates Information from Multiple Sources.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Mapping the Heart-Brain Continuum beyond Heart Failure: Why Neurology Matters.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Emergence of behavioral tinnitus in gerbils is associated with reduced spontaneous rates in single auditory nerve fibers.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Decoding the neural stages from action and object recognition to mentalizing.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace
09:11

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Grasp movement decoding from premotor and parietal cortex.

Benjamin R Townsend1, Erk Subasi, Hansjörg Scherberger

  • 1Institute of Neuroinformatics, University of Zürich and Eidgenössisch Technische Hochschule Zürich, CH-8057 Zürich, Switzerland.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|October 7, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a Bayesian decoder to interpret brain signals for hand grasping. This system decodes grip type and wrist orientation, paving the way for advanced neural interfaces.

More Related Videos

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
10:51

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

Related Experiment Videos

Last Updated: May 28, 2026

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace
09:11

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings
07:08

Investigating Object Representations in the Macaque Dorsal Visual Stream Using Single-unit Recordings

Published on: August 1, 2018

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
10:51

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

Area of Science:

  • Neuroscience
  • Robotics
  • Biomedical Engineering

Background:

  • Decoding cortical motor activity is crucial for advanced neural interfaces.
  • Current methods face challenges in classifying diverse grasping patterns.

Purpose of the Study:

  • To develop a real-time Bayesian decoder for classifying grip type and wrist orientation.
  • To investigate the roles of anterior intraparietal cortex (AIP) and ventral premotor cortex (area F5) in grasp decoding.

Main Methods:

  • Utilized multiunit signals from macaque monkeys' AIP and F5.
  • Employed a Bayesian decoder for real-time classification of grasp types and wrist orientations.
  • Analyzed decoder performance and compared contributions of different brain areas.

Main Results:

  • Achieved 63% maximum decoding accuracy for two grasp types and five wrist orientations (10% chance level).
  • Grip type decoding accuracy reached 90.6%, with orientation classification being more error-prone.
  • Identified distinct contributions of F5 (grip type) and AIP (orientation), with combined areas yielding optimal performance.

Conclusions:

  • The developed decoder offers a promising step toward functional neural interfaces for hand grasping.
  • Quantitative differences in grasp representation exist between AIP and F5.
  • Simultaneous neural activity from both areas maximizes decoding performance.