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

Brain Imaging01:14

Brain Imaging

225
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
225
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.1K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.1K

You might also read

Related Articles

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

Sort by
Same author

A neuronal prospect theory model in the brain reward circuitry.

Nature communications·2022
Same author

Spatiotemporal dynamics of odor representations in the human brain revealed by EEG decoding.

Proceedings of the National Academy of Sciences of the United States of America·2022
Same author

Estimating the time-varying reproduction number of COVID-19 with a state-space method.

PLoS computational biology·2021
Same author

Reconstructing neuronal circuitry from parallel spike trains.

Nature communications·2019
Same author

Correlations and forecast of death tolls in the Syrian conflict.

Scientific reports·2017
Same author

Similarity in Neuronal Firing Regimes across Mammalian Species.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2016
Same journal

On phase transitions to interdisciplinary and convergent research.

PNAS nexus·2026
Same journal

Confident judgments of (mis)information veracity are more, rather than less, accurate.

PNAS nexus·2026
Same journal

Can AI help reduce prejudice? Evaluating the effectiveness of AI-powered personalized persuasion on support for transgender rights.

PNAS nexus·2026
Same journal

A cultural explanation for parole decisions in the United States.

PNAS nexus·2026
Same journal

A transformer-based language model reveals developmental constraint and network complexity during zebrafish embryogenesis.

PNAS nexus·2026
Same journal

Dual phosphoregulatory mechanisms of condensin I revealed by biochemical reconstitution.

PNAS nexus·2026
See all related articles

Related Experiment Video

Updated: Jun 21, 2025

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
10:19

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo

Published on: March 31, 2016

8.1K

Nondifferentiable activity in the brain.

Yasuhiro Tsubo1, Shigeru Shinomoto2,3

  • 1College of Information Science and Engineering, Ritsumeikan University, Osaka 567-8570, Japan.

PNAS Nexus
|July 12, 2024
PubMed
Summary
This summary is machine-generated.

Synchronous neural activity, seen as vertical stripes in spike raster plots, can be caused by brainwave oscillations or nondifferentiable fluctuations. A new analysis method addresses limitations in current models for understanding neural connectivity.

Keywords:
cross-correlogramsmonosynaptic connectivitynondifferentiable fluctuationsspike trains

More Related Videos

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems
06:28

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

2.3K
Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
16:08

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

16.1K

Related Experiment Videos

Last Updated: Jun 21, 2025

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
10:19

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo

Published on: March 31, 2016

8.1K
Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems
06:28

Author Spotlight: Unraveling Seizure Dynamics and Novel Therapeutics for Status Epilepticus Using CMOS High-Density Microelectrode Array Systems

Published on: September 27, 2024

2.3K
Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
16:08

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

16.1K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Neural Dynamics

Background:

  • Spike raster plots reveal synchronous neuronal activity, indicated by vertical stripes.
  • The underlying causes of these coherent neural dynamics are debated, with smooth brainwave activity and other factors being considered.

Purpose of the Study:

  • To investigate the origins of synchronous neuronal activity, specifically differentiating between smooth brainwave oscillations and nondifferentiable fluctuations.
  • To develop an improved analysis method for neural connectivity estimation that accounts for observed signal characteristics.

Main Methods:

  • Analysis of biological data, focusing on cross-correlograms of neuronal activity.
  • Development and application of a novel computational method for analyzing neural signal dynamics.

Main Results:

  • Neuronal cross-correlograms exhibit slow undulation and a cusp at the origin, suggesting complex underlying processes.
  • Smooth brainwave oscillations explain the undulation, while nondifferentiable fluctuations explain the cusp.
  • Current analysis methods, while adapting to undulation, produce false inferences due to the cusp.

Conclusions:

  • A new analysis method is proposed to accurately model both undulation and cusp phenomena in neural data.
  • This method aims to improve the estimation of neural connectivity by overcoming limitations of existing techniques.
  • Simulations of large-scale neural networks demonstrate the potential emergence of both oscillations and nondifferentiable fluctuations.