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

220
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...
220
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

3.5K
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.
3.5K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

527
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
527
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

269
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
269
Vision01:24

Vision

55.2K
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.
55.2K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

445
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
445

You might also read

Related Articles

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

Sort by
Same author

Emotion regulation in mother-child dyads is associated with interbrain synchrony during imagined shared emotional experiences.

Frontiers in psychology·2026
Same author

Papilledema and related clinical and paraclinical visual assessment in cerebral venous and sinus thrombosis versus idiopathic intracranial hypertension.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.

Nature communications·2026
Same author

Global prevalence and disability burden of brain disorders: Impact of neurological, mental, and substance use disorders.

Neuroscience and biobehavioral reviews·2026
Same author

Neural correlates of mental illness related stigma: a systematic review of neuroimaging evidence.

Journal of psychiatric research·2026
Same author

Psychological inflexibility and resilience in anxiety: insights from machine-learning and robust mediation-based models.

Frontiers in psychiatry·2026

Related Experiment Video

Updated: Sep 6, 2025

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

26.1K

A two-stage framework for neural processing of biological motion.

João Valente Duarte1, Rodolfo Abreu2, Miguel Castelo-Branco1

  • 1Centre of Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Portugal.

Neuroimage
|June 23, 2022
PubMed
Summary

This study reveals a two-stage framework for biological motion perception. Early visual processing in dorsal and ventral streams independently computes local and global motion cues, integrating later for scale-independent perception.

Keywords:
Biological motionLocal biological motionTwo-stage processingfMRI

More Related Videos

Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

1.1K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.8K

Related Experiment Videos

Last Updated: Sep 6, 2025

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

26.1K
Profiling Maternal Behavior Responses During Whole-Brain Imaging
07:12

Profiling Maternal Behavior Responses During Whole-Brain Imaging

Published on: January 24, 2025

1.1K
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.8K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Understanding the hierarchical computation of biological motion perception, from local animacy to global body dynamics, is incomplete.
  • The functional separation between processing local biological motion and global dynamic body perception requires further investigation.

Purpose of the Study:

  • To isolate and characterize the neural correlates of local biological motion processing.
  • To investigate the distinct contributions of dorsal and ventral visual streams in biological motion perception.
  • To elucidate the hierarchical stages involved in computing biological motion, from local cues to global body perception.

Main Methods:

  • Utilized a single-dot motion perceptual decision paradigm focusing on biomechanical details of local joint motion.
  • Employed a discrimination task to specifically target the processing of biological motion properties.
  • Applied representational similarity analysis (RSA) and fMRI response deconvolution to analyze neural signals.

Main Results:

  • Identified separable neural signals for local biological motion and global motion-mediated shape in early dorsal (hMT+, V3A) and ventral (EBA, FFG) stream regions.
  • Demonstrated that these signals reflect two independent processing stages.
  • Revealed that the posterior superior temporal sulcus (pSTS) integrates both motion classes, indicating a higher-level, scale-independent perception stage.

Conclusions:

  • Proposed a two-stage framework for the neural computation of biological motion.
  • Highlighted the independent contributions of dorsal and ventral regions in the initial stage of biological motion processing.
  • Showcased a higher-level integrative stage in pSTS for scale-independent biological motion perception.