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

Electrochemical Systems01:24

Electrochemical Systems

Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution, the Zn metal, composed...

You might also read

Related Articles

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

Sort by
Same author

Opening the black box: a modular approach to spike sorting.

bioRxiv : the preprint server for biology·2026
Same author

Hyperthermic Intrathoracic Chemotherapy for Pleural Pseudomyxoma Peritonei: A Rare Case Report and Practical Considerations.

Archivos de bronconeumologia·2026
Same author

Alterations in respiratory heart rate variability in brain-injured neurointensive care unit patients compared with healthy humans.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

SEMA3B is associated with disease activity and infliximab response in IBD patients but does not contribute to the development of intestinal inflammation <i>in vivo</i>.

Frontiers in immunology·2026
Same author

Odour learning concentration influences concentration range of conditioned response in newborn rabbits.

Scientific reports·2025
Same author

Artificial intelligence in thoracic surgery consultations: evaluating the concordance between a large language model and expert clinical decisions.

Frontiers in digital health·2025
Same journal

Predicting vasovagal syncope during head-up tilt test: three machine learning approaches.

Frontiers in neuroinformatics·2026
Same journal

Decoding basal ganglia motor circuit dysfunction from handwriting: a physics-informed neural signal interpretation framework for Parkinson's disease screening.

Frontiers in neuroinformatics·2026
Same journal

FUSION-AD: interpretable AI framework for risk assessment and subgroup discovery in Alzheimer's disease.

Frontiers in neuroinformatics·2026
Same journal

A 3D-printed phantom to validate subject orientation in 3D imaging and recordings.

Frontiers in neuroinformatics·2026
Same journal

IntegriLAB: a blockchain-enabled electronic lab notebook for reproducible neuroimaging research.

Frontiers in neuroinformatics·2026
Same journal

Long-range correlations in alpha-band of electroencephalogram: a nonlinear embedding and detrended fluctuation analysis.

Frontiers in neuroinformatics·2026
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

OpenElectrophy: An Electrophysiological Data- and Analysis-Sharing Framework.

Samuel Garcia1, Nicolas Fourcaud-Trocmé

  • 1Neurosciences Sensorielles Comportement Cognition, CNRS - UMR5020 - Université Claude Bernard Lyon 1 Lyon, France.

Frontiers in Neuroinformatics
|June 13, 2009
PubMed
Summary
This summary is machine-generated.

OpenElectrophy is an open-source framework for managing and analyzing large electrophysiological datasets. It offers a centralized database, visualization tools, and Python scripting for efficient data handling and analysis.

Keywords:
SQLanalysisdatabaseelectrophysiologyoscillationpythonspike sorting

More Related Videos

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings
08:53

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings

Published on: July 15, 2019

Related Experiment Videos

Last Updated: Jun 22, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

High-Throughput Analysis of Optical Mapping Data Using ElectroMap
07:36

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings
08:53

Human iPSC-Derived Cardiomyocyte Networks on Multiwell Micro-electrode Arrays for Recurrent Action Potential Recordings

Published on: July 15, 2019

Area of Science:

  • Neuroscience
  • Computational Biology
  • Data Science

Background:

  • Advancements in experimental techniques yield large electrophysiological datasets.
  • Efficient storage, manipulation, and analysis of these large datasets pose significant challenges.

Purpose of the Study:

  • To introduce OpenElectrophy, a data- and analysis-sharing framework designed for electrophysiological research.
  • To address the primary issue of managing and analyzing large-scale electrophysiological data.

Main Methods:

  • Utilizes a central MySQL database for storing experiment data and metadata.
  • Provides a graphical user interface for data visualization and exploration.
  • Offers a Python library with functions for analysis scripting, including spike-sorting and oscillation detection.

Main Results:

  • OpenElectrophy facilitates the management of extensive electrophysiological data.
  • The framework integrates multiple spike-sorting algorithms.
  • Includes oscillation detection methods based on ridge extraction (Roux et al., 2007).

Conclusions:

  • OpenElectrophy provides a comprehensive solution for the challenges of large-scale electrophysiological data.
  • The open-source framework promotes data sharing and efficient analysis in neuroscience research.
  • It is freely available for download, supporting the research community.