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 Experiment Videos

The 'ecological' probability density function for linear optic flow: implications for neurophysiology.

J Ivins1, J Porrill, J Frisby

  • 1Department of Computer Science, Curtin University of Technology, Perth, Western Australia. ivinsj@cs.curtin.edu.au

Perception
|January 11, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

High-density, Identified Cell Recordings from Motor Cortex of Awake Behaving Macaques using Multiple 1024-channel CMOS Probes.

IEEE transactions on bio-medical engineering·2026
Same author

High-density, Identified Cell Recordings from Motor Cortex of Awake Behaving Macaques using 1024-channel SiNAPS-NHP Probes.

bioRxiv : the preprint server for biology·2025
Same author

Quantitative futility in emergency laparotomy: an exploration of early-postoperative death in the National Emergency Laparotomy Audit.

Techniques in coloproctology·2023
Same author

A softening laminar electrode for recording single unit activity from the rat hippocampus.

Scientific reports·2019
Same author

[Suicidal behavior in childhood].

Revue medicale de Liege·2010
Same author

Kinematic coordination of reach and balance.

Journal of motor behavior·2009
Same journal

Predictive models and parameter analysis for multiple tactile perceptions in skin-wet fabrics interface.

Perception·2026
Same journal

High-resolution kitsch by AI: Why society needs art, not more AI content.

Perception·2026
Same journal

Benchmarking spatial discrimination thresholds of two-frame motion defined forms compared to luminance and stereoscopic defined forms.

Perception·2026
Same journal

The effect of face masks on the perception of trustworthiness and competence in individuals with autistic traits.

Perception·2026
Same journal

The importance of external features for categorizing ethnicity: can Koreans identify Korean, Japanese, and Chinese faces?

Perception·2026
Same journal

Interoception, alexithymia, and motor congruency: Psychological drivers of body ownership in virtual reality.

Perception·2026
See all related articles

Neurons in the medial superior temporal (MST) area may be involved in shape recovery, but respond best to combined optic flow stimuli, not pure deformation. Understanding the input probability density function (PDF) is key to interpreting MST cell responses.

Area of Science:

  • Neuroscience
  • Computational Vision

Background:

  • Shape recovery from optic flow is theoretically linked to deformation components.
  • Medial superior temporal (MST) neurons show limited response to pure deforming stimuli, questioning their role in shape recovery.

Purpose of the Study:

  • To investigate the role of input probability density function (PDF) in MST neuron responses.
  • To re-evaluate the involvement of MST cells in shape recovery by considering nonlinear pattern matching.

Main Methods:

  • A Monte Carlo study simulated optic flow components from ego-motion in a planar environment.
  • Analyzed the joint PDF of linear optic flow components.
  • Examined recent findings on deformation-selective cells in MST.

Main Results:

Related Experiment Videos

  • MST cells exhibit a continuum of responses to translation, rotation, and divergence.
  • Negative correlations exist between deformation and conformal components of optic flow.
  • Input PDF significantly influences MST cell response characteristics.

Conclusions:

  • MST cells may be involved in shape analysis, but likely respond to combined optic flow stimuli rather than pure deformation.
  • Previous neurophysiological studies might have used suboptimal stimuli for assessing MST cell function in shape recovery.