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

Pseudoaneurysms as a complication of stereoelectroencephalography: Case series and clinical recommendations.

Epilepsia·2025
Same author

Invasive Brain-Computer Interfaces: A Critical Assessment of Current Developments and Future Prospects.

JMIR neurotechnology·2025
Same author

JMIR Neurotechnology: Connecting Clinical Neuroscience and (Information) Technology.

JMIR neurotechnology·2025
Same author

Application of a Low-Cost mHealth Solution for the Remote Monitoring of Patients With Epilepsy: Algorithm Development and Validation.

JMIR neurotechnology·2025
Same author

A brain-computer interface working definition.

Nature biomedical engineering·2025
Same author

Whole-brain dynamics of articulatory, acoustic and semantic speech representations.

Communications biology·2025
Same journal

Transforming Perceptions: Exploring the Multifaceted Potential of Generative AI for People With Cognitive Disabilities.

JMIR neurotechnology·2026
Same journal

Investigation of Study Procedures to Estimate Sensitivity and Reliability of a Virtual Physical Assessment Developed for Workplace Concussions: Method-Comparison Feasibility Study.

JMIR neurotechnology·2026
Same journal

Diagnostic Accuracy of GPT-4 With Vision in Neuroradiology Board-Style Exam Questions: Cross-Sectional Case-Based Study.

JMIR neurotechnology·2026
Same journal

Tracking Cognitive Health With Wearables in Telerehabilitation Female Participants: Could Nighttime Sleep Measures Be Used as Sex-Specific Digital Endpoints?

JMIR neurotechnology·2026
Same journal

A Pocket Laboratory for Functional Neuroimaging Research Using Mobile Visual Oddball, Multimodal Electroencephalography, and Functional Near-Infrared Spectroscopy Imaging: Instrument Validation Study.

JMIR neurotechnology·2026
Same journal

Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study.

JMIR neurotechnology·2025
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Construction of Microdrive Arrays for Chronic Neural Recordings in Awake Behaving Mice
10:44

Construction of Microdrive Arrays for Chronic Neural Recordings in Awake Behaving Mice

Published on: July 5, 2013

21.4K

The Easy and Versatile Neural Recording Platform (T-REX): Design and Development Study.

Joaquín Amigó-Vega1, Maarten C Ottenhoff2, Maxime Verwoert2

  • 1Computer Science Department Gran Sasso Science Institute L'Aquila Italy.

JMIR Neurotechnology
|December 4, 2025
PubMed
Summary
This summary is machine-generated.

T-REX (Standalone Recorder of Experiments) is a new software platform that streamlines neuroscientific data recording. This user-friendly tool minimizes setup time and errors, allowing researchers to maximize valuable recording time.

Keywords:
data recordingexperimentsflexibleneurotechnologyplatformrecording

More Related Videos

Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi-Region Brain Studies
08:51

Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi-Region Brain Studies

Published on: April 26, 2024

1.8K
Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.8K

Related Experiment Videos

Last Updated: Jan 9, 2026

Construction of Microdrive Arrays for Chronic Neural Recordings in Awake Behaving Mice
10:44

Construction of Microdrive Arrays for Chronic Neural Recordings in Awake Behaving Mice

Published on: July 5, 2013

21.4K
Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi-Region Brain Studies
08:51

Author Spotlight: Deciphering Memory and Learning Through Neural Implants for Multi-Region Brain Studies

Published on: April 26, 2024

1.8K
Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats
10:04

Construction of an Improved Multi-Tetrode Hyperdrive for Large-Scale Neural Recording in Behaving Rats

Published on: May 9, 2018

11.8K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Behavioral Science
  • Electrophysiology

Background:

  • Invasive neuroscientific research faces time constraints, often leading to inefficiencies due to lengthy setup times and manual errors.
  • Existing automated recording solutions are either custom-built or integrated into larger toolboxes, lacking a dedicated platform for recording.

Purpose of the Study:

  • To develop a flexible and user-friendly software package, T-REX (Standalone Recorder of Experiments), to simplify experimental recording and reduce overhead.
  • To minimize manual actions in experimental setup and execution, thereby reducing error rates and increasing efficiency.

Main Methods:

  • T-REX is a standalone, offline webpage utilizing Bootstrap5 for the frontend and Flask for the backend, requiring only Python 3.7+.
  • Data synchronization is achieved through the Lab Streaming Layer (LSL) ecosystem, ensuring compatibility with various programming languages and toolboxes.
  • The platform is designed to be operating system independent, running on Windows, Linux, and macOS.

Main Results:

  • T-REX centralizes multiple experiments in a local web interface, reducing setup, start, and stop procedures to a single button press.
  • The platform supports diverse experimental types across scientific fields and allows customization for specific recording modalities, amplifiers, and participants.
  • Automated setup and an intuitive interface enable participants to self-initiate and stop experiments, potentially allowing data collection without direct researcher supervision.

Conclusions:

  • A novel, operating system-independent, user-friendly, and robust recording platform, T-REX, has been developed.
  • T-REX significantly enhances researchers' ability to dedicate more time to data recording by minimizing setup time and associated errors.