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

Population codes for context-dependent decision-making.

Current opinion in neurobiology·2026
Same author

Decomposing the modulation of interactions between neuronal populations.

bioRxiv : the preprint server for biology·2026
Same author

Toward a general framework for kinematic coding. reply to comments on "kinematic coding: Measuring information in naturalistic behaviour".

Physics of life reviews·2026
Same author

Contribution of spike timing to the neural code: from fast to slow timescales.

Biological cybernetics·2026
Same author

Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain.

PLoS computational biology·2026
Same author

Neural population activity for memory: Properties, computations, and codes.

Neuron·2025
Same journal

Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

Bio Systems·2026
Same journal

The quantum-to-classical transducer: A thermodynamic and quantum mechanical framework for the emergence of bioenergetics.

Bio Systems·2026
Same journal

Forward-backward gene expression binarization for boolean state inference over a known regulatory network.

Bio Systems·2026
Same journal

Partial-label metric ceilings for evaluating gene regulatory networks inferred from single-cell foundation models.

Bio Systems·2026
Same journal

The impedance mismatch theory: A non-equilibrium thermodynamic framework for a shared energetic stress pathway in neurodegeneration.

Bio Systems·2026
Same journal

Immune signal-status misclassification: A theoretical framework for biological status assignment and failed status resolution.

Bio Systems·2026
See all related articles

Related Experiment Video

Updated: Jan 19, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K

Using intersection information to map stimulus information transfer within neural networks.

Giuseppe Pica1, Mohammadreza Soltanipour2, Stefano Panzeri1

  • 1Neural Computation Laboratory, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, 38068 Rovereto, TN, Italy.

Bio Systems
|September 25, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed transmitted intersection information to quantify stimulus-specific information transfer between neural populations. This new measure accurately tracks how sensory information flows through neural circuits, aiding in understanding brain processing and behavior generation.

Keywords:
Information transmissionNeural coding

More Related Videos

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K
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

7.3K

Related Experiment Videos

Last Updated: Jan 19, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.7K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.5K
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

7.3K

Area of Science:

  • Neuroscience
  • Information Theory
  • Computational Neuroscience

Background:

  • Existing methods like directed information and Granger causality measure general information exchange between neural populations.
  • Understanding sensory information processing and its role in behavior generation necessitates quantifying stimulus-specific information transfer.

Purpose of the Study:

  • To develop a novel measure, transmitted intersection information, for quantifying stimulus-specific information transfer between neural populations.
  • To establish a method that can differentiate stimulus-related information from general information flow in neural communication.

Main Methods:

  • Utilized the concept of intersection information to derive transmitted intersection information.
  • Applied the measure to simulated feed-forward neural networks (single neurons and pools).
  • Assessed statistical sensitivity with realistic trial numbers.

Main Results:

  • Transmitted intersection information is non-negative and bounded by stimulus information and total transmitted information.
  • The measure successfully distinguished stimulus-specific information transfer from non-specific transfer in simulations.
  • Demonstrated good statistical sensitivity for detecting information transfer.

Conclusions:

  • Transmitted intersection information offers a promising tool for mapping stimulus-specific information flow across neural populations.
  • This measure advances our ability to understand how sensory information is processed and utilized in the brain.
  • Provides a quantitative framework for analyzing neural information processing in the context of stimuli and behavior.