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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

You might also read

Related Articles

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

Sort by
Same author

Redox-Mitochondria-Immune Network Dysregulation in Schizophrenia: From Selective Cellular Vulnerability to Circuit Dysfunction.

Cells·2026
Same author

3D Electrical Impedance Tomography of Regional Ventilation During Jet Ventilation: A Pilot Study.

Laryngoscope investigative otolaryngology·2026
Same author

Efficacy and mechanisms of low-frequency TENS for common multimorbidity in older adults: protocol for a pilot randomized controlled trial.

Frontiers in medicine·2026
Same author

The Art of Nanoimmunobiotechnomedicine in Depression Management.

Advanced pharmaceutical bulletin·2026
Same author

Lotus-Leaf-Extract-Based Nanoformulation for Sensitive Skin: Whitening and Barrier-Supporting Properties.

ACS applied bio materials·2026
Same author

Levodopa differentially modulates spectral features in cerebellum and basal ganglia in a rodent model of Parkinson's disease.

Experimental neurology·2025

Related Experiment Video

Updated: Jul 11, 2026

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

15.3K

Integrating manual preprocessing with automated feature extraction for improved rodent seizure classification.

An Yu1, Mannut Singh2, Abhineet Pandey1

  • 1Department of Computer Science, University at Albany, Albany NY, United States.

Epilepsy & Behavior : E&B
|February 21, 2025
PubMed
Summary

This study developed an AI system for classifying rodent epilepsy stages from videos, achieving up to 90.3% accuracy. The semi-automatic method aids in drug discovery but requires manual data preprocessing.

Keywords:
Artificial IntelligenceBehavior AnalysisEpilepsyRacine ScaleRodent ModelSeizure Stage RecognitionSkeleton KeypointsVideo Analytics

More Related Videos

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.0K
Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue
06:45

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Published on: January 19, 2019

8.9K

Related Experiment Videos

Last Updated: Jul 11, 2026

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

15.3K
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.0K
Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue
06:45

Generation and On-Demand Initiation of Acute Ictal Activity in Rodent and Human Tissue

Published on: January 19, 2019

8.9K

Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Animal Behavior Analysis

Background:

  • Rodent models are crucial for epilepsy research, but current behavioral analysis methods are time-consuming and subjective.
  • Preclinical screening of anti-epileptic drugs (AEDs) relies heavily on accurate seizure detection in animal models.
  • Automated analysis can significantly improve the efficiency and objectivity of epilepsy research.

Purpose of the Study:

  • To develop an AI-enabled quantitative analysis of rodent behavior for epilepsy stage classification.
  • To create a semi-automatic pipeline for seizure detection and recognition in rodent models.
  • To reduce the time and subjectivity associated with manual video monitoring in epilepsy research.

Main Methods:

  • Leveraged deep learning and computer vision techniques for a semi-automatic analysis pipeline.
  • Combined model-based and data-driven approaches for seizure detection.
  • Utilized rat skeleton keypoints and seizure behavior videos, requiring manual preprocessing and segmentation.

Main Results:

  • Developed the PoseC3D method for rat seizure stage classification.
  • Achieved classification accuracy between 64.7% and 90.3% on four different seizure phenotypes.
  • Successfully collected and analyzed datasets of rat seizure behavior.

Conclusions:

  • Demonstrated the feasibility of video-based seizure stage detection and classification in rodent models.
  • The semi-automatic pipeline shows promise for quantitative analysis of rodent motor behavior.
  • Limitations include the need for manual preprocessing and testing on unseen animals, impacting generalizability.