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

You might also read

Related Articles

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

Sort by
Same author

Uncovering persistent biases in human path integration by separating left and right trials.

Scientific reports·2026
Same author

ATTNFNET: feature aware depth-to-pressure translation with cGAN training.

Frontiers in medical technology·2025
Same author

Visual place learning by walking bumblebees in virtual reality.

The Journal of experimental biology·2025
Same author

Navigating in clutter: how bumblebees optimize flight behaviour through experience.

The Journal of experimental biology·2025
Same author

Bumblebees locate goals in 3D with absolute height estimation from ventral optic flow.

The Journal of experimental biology·2025
Same author

Bumblebees increase their learning flight altitude in dense environments.

The Journal of experimental biology·2025
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: May 31, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Pattern-dependent response modulations in motion-sensitive visual interneurons--a model study.

Hanno Gerd Meyer1, Jens Peter Lindemann, Martin Egelhaaf

  • 1Department of Neurobiology, Bielefeld University, Bielefeld, Germany. hanno.meyer@uni-bielefeld.de

Plos One
|July 16, 2011
PubMed
Summary
This summary is machine-generated.

Motion-sensitive neurons in flies show response modulations influenced by visual pattern properties. Receptive field size and shape impact velocity coding, suggesting a trade-off between signal clarity and localization for motion vision.

More Related Videos

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Related Experiment Videos

Last Updated: May 31, 2026

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns
09:42

Stimulus-specific Cortical Visual Evoked Potential Morphological Patterns

Published on: May 12, 2019

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning
11:20

Recording Single Neurons' Action Potentials from Freely Moving Pigeons Across Three Stages of Learning

Published on: June 2, 2014

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Area of Science:

  • Neuroscience
  • Computational Biology
  • Animal Behavior

Background:

  • Motion-sensitive neurons, like lobula plate tangential cells (LPTCs) in flies, exhibit response amplitude modulations.
  • These modulations are linked to local pattern characteristics of the moving visual scene.
  • Modulations have been viewed as 'pattern noise' hindering velocity information, but may also encode environmental texture.

Purpose of the Study:

  • To investigate how receptive field size and shape influence pattern-dependent response modulations in motion-sensitive neurons.
  • To analyze the trade-offs between velocity signal quality and localization based on receptive field characteristics.

Main Methods:

  • Simulations of four versions of lobula plate tangential cell (LPTC) models.
  • Models comprised arrays of elementary motion detectors of the correlation type (EMDs).
  • Analysis focused on the impact of receptive field size and shape on neuron responses.

Main Results:

  • Pattern-dependent response modulations decrease with an increased number of EMDs, smoothing spatial variations.
  • Receptive field shape significantly affects modulations; elongated fields along the motion direction show more pronounced effects.
  • Large, elongated receptive fields enhance velocity signal quality but reduce motion localization accuracy.

Conclusions:

  • Motion vision using correlation-type detectors faces uncertainty: a single cell cannot provide both unambiguous and localized velocity signals.
  • The size and shape of receptive fields in motion-sensitive neurons should be optimized for specific computational tasks.
  • This suggests a task-dependent adaptation of neural architecture for efficient motion processing.