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

Decoding orbital angular momentum in turbid tissue-like scattering medium with deep learning.

Scientific reports·2026
Same author

CAT-GAN-UKF: category-aware online adaptive unscented kalman filtering for trajectory-level multi-object state estimation.

Scientific reports·2026
Same author

Synergistic microscopic platform for probing molecular interaction on mitochondria-lysosome contact membrane.

Biomedical optics express·2026
Same author

Enhancing retinal photoreceptor neurite outgrowth with small molecules and growth factors.

Experimental eye research·2026
Same author

Visual cortex speckle imaging for shape recognition.

Scientific reports·2025
Same author

Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation.

Scientific reports·2025

Related Experiment Video

Updated: Oct 17, 2025

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

2.0K

Evaluation and Optimization of Methods for Generating High-Resolution Retinotopic Maps Using Visual Cortex

Ori Carmi1,2, Adi Gross1, Nadav Ivzan1

  • 1Faculty of Life Sciences, School of Optometry and Vision Science, Bar-Ilan University, Ramat Gan, Israel.

Frontiers in Cellular Neuroscience
|October 8, 2021
PubMed
Summary

This study compared seven methods for analyzing voltage-sensitive dye imaging data to map brain activity. Temporally Structured Component Analysis (TSCA) proved superior for creating high-resolution retinotopic maps.

Keywords:
cluster evaluationretinotopic mappingsignal processingvisual cortex (V1)voltage sensitive dye imaging

More Related Videos

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
11:24

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

Published on: December 12, 2012

13.8K
Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.4K

Related Experiment Videos

Last Updated: Oct 17, 2025

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
07:11

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

Published on: December 8, 2023

2.0K
Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging
11:24

Targeted Labeling of Neurons in a Specific Functional Micro-domain of the Neocortex by Combining Intrinsic Signal and Two-photon Imaging

Published on: December 12, 2012

13.8K
Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

9.4K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • High-resolution mapping of neuronal activity is crucial for understanding brain function.
  • Retinotopic maps link visual stimuli to specific cortical responses.
  • Voltage-sensitive dye imaging offers potential for detailed neural activity visualization.

Purpose of the Study:

  • To evaluate and compare seven methods for extracting and localizing cortical responses from voltage-sensitive dye imaging data.
  • To identify the most effective method for generating high-resolution retinotopic maps.
  • To validate cluster separation metrics for assessing analysis performance.

Main Methods:

  • Voltage-sensitive dye imaging recordings were obtained from rat visual cortex.
  • Visual stimuli were projected onto the retina using a customized system.
  • Seven distinct analysis methods were applied to extract cortical responses.
  • Performance was assessed using Silhouette Index (SI) and Davies-Bouldin Index (DBI) metrics on simulated and real data.

Main Results:

  • Temporally Structured Component Analysis (TSCA) demonstrated superior performance in localizing cortical responses.
  • TSCA enabled the generation of high-resolution retinotopic maps compared to other methods.
  • The validated cluster separation metrics effectively evaluated the performance of different analysis techniques.

Conclusions:

  • TSCA is a highly effective method for analyzing voltage-sensitive dye imaging data to generate detailed retinotopic maps.
  • The proposed cluster separation metrics provide a robust framework for evaluating neural data analysis techniques.
  • These advancements can significantly aid future research in high-resolution brain activity localization.