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

Comparison of the PK, PD, safety, tolerability, and immunogenicity of proposed biosimilar RGB-19 and tocilizumab in healthy Japanese males: a phase 1, randomised, crossover study.

EULAR rheumatology open·2026
Same author

Efficacy, safety, and immunogenicity of proposed biosimilar RGB-19 and tocilizumab intravenously administered to adults with active rheumatoid arthritis and an inadequate response to methotrexate: a phase 3, randomised study.

EULAR rheumatology open·2026
Same author

Impact of Diabetes on the Efficacy of Low-Voltage Area Ablation for Persistent Atrial Fibrillation: A Subanalysis of the SUPPRESS-AF Trial.

Journal of the American Heart Association·2026
Same author

Efficacy of Low-Voltage Area Ablation Across Substrate Size in Persistent Atrial Fibrillation: A Post Hoc Analysis of the SUPPRESS-AF Randomized Trial.

Journal of the American Heart Association·2026
Same author

Induction indices during ventricular pacing as an alternative diagnostic tool in supraventricular tachycardias.

Heart rhythm O2·2026
Same author

Triglyceride-Glucose Index and Clinical Outcome in Patients With Heart Failure With Preserved Ejection Fraction.

JACC. Asia·2026

Related Experiment Video

Updated: Jun 14, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Discriminating natural image statistics from neuronal population codes.

Satohiro Tajima1, Masato Okada

  • 1Department of Complexity Science and Engineering, The University of Tokyo, Kashiwa, Chiba, Japan. tajima@mns.k.u-tokyo.ac.jp

Plos One
|April 3, 2010
PubMed
Summary
This summary is machine-generated.

This study proposes a neural model for how the brain processes natural image statistics, linking neuronal activity to human visual perception. The model explains how the distribution of neuronal preferences affects our ability to discern image properties.

More Related Videos

Long-Term Imaging of Identified Neural Populations using Microprisms in Freely Moving and Head-Fixed Animals
06:25

Long-Term Imaging of Identified Neural Populations using Microprisms in Freely Moving and Head-Fixed Animals

Published on: January 19, 2024

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

Related Experiment Videos

Last Updated: Jun 14, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Long-Term Imaging of Identified Neural Populations using Microprisms in Freely Moving and Head-Fixed Animals
06:25

Long-Term Imaging of Identified Neural Populations using Microprisms in Freely Moving and Head-Fixed Animals

Published on: January 19, 2024

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

Area of Science:

  • Neuroscience
  • Computational Vision
  • Image Statistics

Background:

  • Natural scenes exhibit statistical regularities, like power-law amplitude spectra.
  • Human visual performance correlates with these natural image statistics.
  • The neural mechanisms underlying the perception of image statistics are not well understood.

Purpose of the Study:

  • To propose a theoretical framework for neuronal encoding and decoding of natural image statistics.
  • To investigate how spatial-frequency selective neurons in the early visual cortex represent these statistics.
  • To link computational models of neural activity to psychophysical data on human visual performance.

Main Methods:

  • Developed a theoretical framework for neuronal encoding and decoding of image statistics.
  • Hypothesized population activities of spatial-frequency selective neurons.
  • Analyzed Fisher information of stochastic population codes.
  • Related model predictions to psychophysical discrimination thresholds.

Main Results:

  • The model predicts asymmetric tuning curves for frequency-tuned neurons.
  • Computational model's discrimination thresholds align with experimental human data.
  • Neuronal preferred frequency distribution explains foveal vs. parafoveal performance differences.
  • Thresholds vary based on the distribution of neuronal preferred spatial frequencies.

Conclusions:

  • Neuronal encoding of natural image statistics is achievable through population codes.
  • The distribution of neuronal stimulus preferences is critical for linking neural activity to behavior.
  • The model provides a framework for understanding visual perception of natural scenes.