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 Experiment Videos

EEG analysis with nonlinear excitable media.

Anton Chernihovskyi1, Florian Mormann, Markus Müller

  • 1Department of Epileptology , University of Bonn, 53105 Bonn, Germany.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|December 17, 2005
PubMed
Summary
This summary is machine-generated.

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

Resective temporal lobe surgery in refractory temporal lobe epilepsy: prognostic factors of postoperative seizure outcome.

Journal of neurosurgery·2026
Same author

T1w/T2w Ratio Identifies the Basolateral Amygdala as a Preferential Target in Autoimmune Limbic Encephalitis.

Journal of neuroimaging : official journal of the American Society of Neuroimaging·2026
Same author

Distinct neuronal populations in the human brain combine content and context.

Nature·2026
Same author

Phase of firing does not reflect temporal order in sequence memory of humans and recurrent neural networks.

Nature neuroscience·2025
Same author

Concept and location neurons in the human brain provide the 'what' and 'where' in memory formation.

Nature communications·2024
Same author

Long-term seizure outcome after epilepsy surgery of neuroglial tumors.

Frontiers in neurology·2024
Same journal

Surface EEG to Identify Cognitive Motor Dissociation After Acute Brain Injury.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

The Physics and Physiology of Electrical Stimulation of the Brain.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

Neurophysiology in Postanoxic Encephalopathy: Pathophysiology, Prognosis, and Treatment.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

A Review on the Functional Connectivity of the Human Opercular Cortex.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

Surgical Aspects of Opercular Epilepsies.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
Same journal

Cost-Effectiveness of EEG Monitoring in Hypoxic-Ischemic Brain Injury After Cardiac Arrest.

Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·2026
See all related articles

This study introduces a novel analog approach for analyzing electroencephalogram (EEG) signals. Cellular neural networks detect seizure onsets in EEG data, offering potential for epileptic seizure prediction.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Analog Computing

Background:

  • Electroencephalogram (EEG) analysis involves detecting complex patterns in noisy data.
  • Current statistical methods for EEG analysis have limitations.
  • Biologically inspired analog approaches offer a new perspective.

Purpose of the Study:

  • To present a novel analog approach for EEG analysis using nonlinear excitable media.
  • To demonstrate the capability of cellular neural networks (CNNs) for EEG pattern detection.
  • To explore the potential for seizure onset detection and prediction using this method.

Main Methods:

  • Utilizing a nonlinear, excitable, spatially extended medium composed of diffusively coupled model neurons.
  • Implementing the excitable medium using cellular neural networks (CNNs).

Related Experiment Videos

  • Applying EEG recordings as local perturbations to the CNNs to observe induced transient changes.

    • Main Results:

    • Signal-induced pattern generation in CNNs enables near-instantaneous, unsupervised detection of seizure onsets in EEG.
    • CNNs can be trained to approximate EEG signal synchronization.
    • The developed pattern-recognition device shows promise for epileptic seizure prediction.

    Conclusions:

    • The analog approach using CNNs provides an effective method for EEG analysis.
    • This technique offers a promising avenue for real-time seizure detection and prediction.
    • Cellular neural networks represent a significant advancement in analog parallel computing for neuroscience applications.