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

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...
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
Visual Agnosia01:12

Visual Agnosia

Visual agnosia is a condition characterized by the inability to recognize visually presented objects despite having normal vision. For instance, a person with visual agnosia can describe the shape and color of an object but cannot identify or name it. This impairment does not affect their visual field, acuity, color vision, brightness discrimination, language, or memory. An example of this condition in a social setting is someone at a dinner party asking for "that silver thing with a round end"...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

You might also read

Related Articles

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

Sort by
Same author

Strategies to Decipher Neuron Identity from Extracellular Recordings in Behaving Nonhuman Primates.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same author

Neural circuit mechanisms to transform cerebellar population dynamics for motor control in monkeys.

bioRxiv : the preprint server for biology·2025
Same author

A deep learning strategy to identify cell types across species from high-density extracellular recordings.

Cell·2025
Same author

Strategies to decipher neuron identity from extracellular recordings in the cerebellum of behaving non-human primates.

bioRxiv : the preprint server for biology·2025
Same author

How neural systems transform synaptic plasticity into behavioral learning.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

A deep-learning strategy to identify cell types across species from high-density extracellular recordings.

bioRxiv : the preprint server for biology·2024

Related Experiment Video

Updated: May 9, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Sensory population decoding for visually guided movements.

Sonja S Hohl1, Kris S Chaisanguanthum, Stephen G Lisberger

  • 1Department of Physiology, University of California, San Francisco, San Francisco, CA 94143, USA.

Neuron
|July 16, 2013
PubMed
Summary
This summary is machine-generated.

Researchers explored how brain area MT activity predicts smooth pursuit eye movements. Significant correlations suggest MT neural activity, specifically motion responses, directly influences eye movement initiation, supporting a sensory basis for pursuit variations.

More Related Videos

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

Related Experiment Videos

Last Updated: May 9, 2026

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
07:05

Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine

Published on: October 27, 2016

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions
07:09

Integrating Visual Psychophysical Assays within a Y-Maze to Isolate the Role that Visual Features Play in Navigational Decisions

Published on: May 2, 2019

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • The extrastriate area MT is crucial for processing visual motion.
  • Smooth pursuit eye movements are essential for tracking moving objects.
  • Understanding the neural basis of motion perception and eye movement control is a key challenge.

Purpose of the Study:

  • To investigate the neural decoding function linking extrastriate area MT population responses to smooth pursuit eye movements.
  • To determine the extent to which MT neuronal activity explains trial-by-trial variations in pursuit initiation.
  • To constrain models of neural computation for motion-based eye movement control.

Main Methods:

  • Utilized a novel experimental approach to record from MT neurons during a smooth pursuit eye movement task.
  • Analyzed trial-by-trial correlations between MT neuronal responses and pursuit initiation.
  • Investigated the relationship between MT activity and behavioral output, assessing noise reduction.

Main Results:

  • Significant trial-by-trial correlations were observed between MT neuronal responses and the initiation of smooth pursuit.
  • A high proportion of significant correlations and minimal noise reduction suggest a sensory origin for pursuit variations.
  • Predominantly positive MT-pursuit correlations, irrespective of target speed relative to neuronal preference, were found.

Conclusions:

  • MT neuronal activity plays a significant role in driving smooth pursuit eye movements.
  • The findings support a sensory basis for variations in pursuit initiation.
  • A proposed decoding model involves normalizing a weighted population vector of opponent motion responses.