Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neuron Structure

Neuron Structure

Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...

You might also read

Related Articles

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

Sort by

Same author

Treatable traits of small airway dysfunction in children with asthma and advances in small airway-targeted therapeutic research: a narrative review.

Translational pediatrics·2026

Same author

Targeting ATF3-mediated asparagine biosynthesis reverses acquired resistance to KRAS<sup>G12C</sup> inhibitors.

Oncogene·2026

Same author

Impossible Objects: Mathematicians have designed a new kind of paradoxical shape.

Scientific American·2026

Same author

Visual information is broadcast among cortical areas in discrete channels.

eLife·2026

Same author

Ecological Visual Processing in the Mouse.

Annual review of neuroscience·2026

Same author

Programmed regulation of microenvironment remodeling and bone regeneration for bone repair by coaxial hydrogel scaffold with ultrasound-activated drug delivery.

Materials today. Bio·2026

Search research articles

Related Experiment Video

Updated: May 15, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

TRACKING THE TOPOLOGY OF NEURAL MANIFOLDS ACROSS POPULATIONS.

Iris H R Yoon¹, Gregory Henselman-Petrusek², Yiyi Yu³

¹Department of Mathematics and Computer Science, Wesleyan University, 265 Church Street Middletown, CT 06459.

|April 8, 2025

Summary

We developed a new method to compare neural population structures across brain regions. This technique, the method of analogous cycles, identifies shared patterns in neural activity for better cross-brain analysis.

More Related Videos

Revealing Neural Circuit Topography in Multi-Color

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

Related Experiment Videos

Last Updated: May 15, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Revealing Neural Circuit Topography in Multi-Color

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Neural manifolds represent information encoded by neuronal populations.
Simultaneous recordings from multiple brain regions are becoming more common.
Comparing nonlinear neural manifolds across populations is challenging.

Purpose of the Study:

To introduce a framework for matching topological features of neural manifolds across populations.
To enable robust and falsifiable comparisons of neural structures.
To provide a foundation for cross-population analysis.

Main Methods:

The method of analogous cycles (MAC) is introduced.
MAC uses dissimilarity matrices within and between neural populations.
The method is deterministic and does not rely on dimensionality reduction or optimization.

Main Results:

MAC correctly identifies shared circular coordinate systems across stimuli and neural manifolds.
The method successfully rejects non-intrinsic matching features.
Analysis of simulations and in vivo data validates the approach.

Conclusions:

The method of analogous cycles offers a robust way to compare neural manifolds.
This framework facilitates mathematical investigation and interpretation of neural activity.
MAC provides a foundation for a theory of cross-population analysis.