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

Spaces and sequences in the hippocampus: a homological perspective.

Journal of computational neuroscience·2026
Same author

Spaces and sequences in the hippocampus: a homological perspective.

bioRxiv : the preprint server for biology·2025
Same author

Theta oscillons in behaving rats.

ArXiv·2024
Same author

Theta oscillons in behaving rats.

bioRxiv : the preprint server for biology·2024
Same author

Altered patterning of neural activity in a tauopathy mouse model.

bioRxiv : the preprint server for biology·2024
Same author

Discrete Structure of the Brain Rhythms.

Scientific reports·2019

Related Experiment Video

Updated: Oct 15, 2025

Recording Spatially Restricted Oscillations in the Hippocampus of Behaving Mice
07:10

Recording Spatially Restricted Oscillations in the Hippocampus of Behaving Mice

Published on: July 1, 2018

9.0K

Spatial representability of neuronal activity.

D Akhtiamov1, A G Cohn2,3,4,5,6, Y Dabaghian7

  • 1Einstein institute of Mathematics, The Hebrew University, Jerusalem, 9190401, Israel.

Scientific Reports
|October 26, 2021
PubMed
Summary

This study introduces a theoretical framework using topological data analysis to predict neuronal firing fields, moving beyond empirical discovery. This approach offers a consistent method for understanding neural representations of space.

More Related Videos

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.6K
Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
09:48

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Published on: March 27, 2015

8.5K

Related Experiment Videos

Last Updated: Oct 15, 2025

Recording Spatially Restricted Oscillations in the Hippocampus of Behaving Mice
07:10

Recording Spatially Restricted Oscillations in the Hippocampus of Behaving Mice

Published on: July 1, 2018

9.0K
Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

9.6K
Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
09:48

Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array

Published on: March 27, 2015

8.5K

Area of Science:

  • Computational Neuroscience
  • Neuroscience
  • Topology

Background:

  • Neuronal firing fields, such as those in hippocampal place cells, are typically discovered empirically.
  • These fields represent regions in space or configuration spaces that elicit neural responses.
  • Existing methods rely on trial-and-error discovery, lacking a theoretical foundation.

Purpose of the Study:

  • To theoretically establish the existence and properties of neuronal firing fields.
  • To develop a consistent framework for interpreting neural spiking activity.
  • To verify neuronal responses against a coherent spatial representation.

Main Methods:

  • Utilizing topological data analysis of neuronal spiking activity.
  • Applying the Leray criterion powered by persistent homology theory.
  • Employing Eckhoff conditions and Region Connection Calculus.

Main Results:

  • Demonstrated theoretical prediction of neuronal firing fields.
  • Provided a method to verify consistency of neural responses with spatial representations.
  • Established a link between topological features and neural activity patterns.

Conclusions:

  • Topological analysis offers a powerful theoretical approach to understanding neuronal firing fields.
  • This method moves beyond empirical discovery, providing a more robust interpretation of neural data.
  • The framework supports a unified understanding of how neurons represent space.