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

Spatially structured heterogeneity shapes large-scale cortical dynamics in a model of the human cortex.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

A biologically plausible decision-making model based on interacting neural populations.

PloS one·2026
Same author

Convergent transcriptomic and connectomic controllers of information integration and its anaesthetic breakdown across mammalian brains.

Nature human behaviour·2026
Same author

Convergent information flows explain recurring firing patterns in cerebral cortex.

Nature neuroscience·2025
Same author

A unified model library maps how neuromodulation reshapes the excitability landscape of neurons across the brain.

PLoS computational biology·2025
Same author

Cortical modulation by exogenous electric fields is consistent with electric dipoles.

Neuroscience·2025

Related Experiment Video

Updated: Jul 10, 2026

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

Activated cortical states: experiments, analyses and models.

Sami El Boustani1, Martin Pospischil, Michelle Rudolph-Lilith

  • 1Integrative and Computational Neuroscience Unit (UNIC), UPR2191, CNRS, Gif-sur-Yvette, France.

Journal of Physiology, Paris
|November 21, 2007
PubMed
Summary

Computational models capture some aspects of the awake brain's cortical activated state, including membrane potential and firing patterns. However, models need refinement to accurately represent firing statistics and network conductance for a complete understanding.

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
16:01

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Published on: August 1, 2011

Related Experiment Videos

Last Updated: Jul 10, 2026

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

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
16:01

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Published on: August 1, 2011

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • The awake cerebral cortex exhibits a distinct "activated" state characterized by sustained depolarized membrane potential (V(m)) and irregular neuronal firing.
  • This activated state differs significantly from other brain states like slow-wave sleep or anesthesia.

Purpose of the Study:

  • To evaluate current computational neuroscience models of the "awake" cortical state.
  • To compare model-generated activity with experimental electrophysiological data from awake animals.

Main Methods:

  • Review of electrophysiological characteristics of activated cortical states in awake cat association cortex.
  • Analysis of single-cell and population-level cortical activity, focusing on membrane potential, firing statistics, and conductance.
  • Comparison of experimental findings with simulations from computational models of the "awake" cortex.

Main Results:

  • Models successfully reproduce aspects like depolarized V(m), irregular firing with Poisson statistics, and the influence of inhibitory fluctuations.
  • Models exhibit discrepancies in accurately replicating firing statistics and the membrane conductance state.
  • Experimental data reveal a high-conductance state in single cortical cells dominated by inhibition, which is not fully captured by current models.

Conclusions:

  • Computational models offer valuable insights into the "awake" cortical state but require further development.
  • Future models need to better represent network dynamics, particularly firing statistics and conductance, to align with experimental observations.
  • Refining models is crucial for a more accurate computational understanding of brain states.