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

Stream Function01:20

Stream Function

2.0K
In two-dimensional incompressible fluid flow, the continuity equation is essential for ensuring mass conservation, meaning that any change in fluid entering or exiting a region is balanced by a corresponding change elsewhere. For incompressible flow, where density remains constant, this requirement simplifies to the condition that the divergence of the velocity field must be zero. Mathematically, this is expressed as,
2.0K
Rapidly Varying Flow01:24

Rapidly Varying Flow

452
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
452
Signal Flow Graphs01:18

Signal Flow Graphs

613
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
613
Distance Measurements by Taping01:18

Distance Measurements by Taping

418
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
418
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

690
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
690
Sample Handling01:02

Sample Handling

2.0K
Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
Samples should be transported carefully from collection points to the laboratory. They should be properly sealed and clearly labeled to prevent cross-contamination. To preserve the sample integrity, optimal temperature conditions during transport are essential. This could involve using...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Exploring the mechanisms of biofield therapy through joint electrophysiological recordings in humans and mice.

IBRO neuroscience reports·2026
Same author

Modality-specific predictive templates in pre-stimulus EEG activity.

Neuropsychologia·2026
Same author

Genomic correlates of self-reported psychic experiences: An exploratory analysis.

Explore (New York, N.Y.)·2026
Same author

Three-ball cascade juggling as a paradigm to study complex motor task execution using mobile brain-body imaging (EEG).

Proceedings. Biological sciences·2026
Same author

Decomposing Juggling Skill into Sequencing, Prediction, and Accuracy: A Computational Model with Low-Gravity VR Training.

Sensors (Basel, Switzerland)·2026
Same author

Age-related Reorganization of Corticomuscular Connectivity During Locomotor Perturbations.

bioRxiv : the preprint server for biology·2025
Same journal

Individualized mapping of functional brain networks in older adulthood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Is the whole more than the sum of its parts? Considering global and local features of the connectome improves prediction of individuals and phenotypes.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

The language network responds robustly to sentences across tasks.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Neighborhood disadvantage and brain myelination: Insights from infancy to childhood.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Meditation and neurofeedback: A systematic scoping review, synthesis, and future directions.

Imaging neuroscience (Cambridge, Mass.)·2026
Same journal

Interactive shape and color representation in visual working memory for colored objects in the human occipitotemporal cortex.

Imaging neuroscience (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: Jan 17, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K

The lab streaming layer for synchronized multimodal recording.

Christian Kothe1, Seyed Yahya Shirazi2, Tristan Stenner3

  • 1Intheon Labs, San Diego, CA, United States.

Imaging Neuroscience (Cambridge, Mass.)
|September 17, 2025
PubMed
Summary
This summary is machine-generated.

The Lab Streaming Layer (LSL) synchronizes data from multiple instruments using software, ensuring millisecond-precise recordings for neurobehavioral studies. LSL offers a reliable, cost-effective solution for complex data acquisition across various applications.

Keywords:
brain/behavior quantification and synchronization (BBQS)mobile brain/body recording (MoBI)multimodal recordingreal-time synchronization

More Related Videos

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

16.0K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.8K

Related Experiment Videos

Last Updated: Jan 17, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K
Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

16.0K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

5.8K

Area of Science:

  • Neuroscience
  • Computer Science
  • Biomedical Engineering

Background:

  • Synchronized data acquisition from multiple instruments is crucial for accurately recording organismal interactions with their environment.
  • Hardware-based synchronization solutions are often costly and impractical for diverse systems.
  • Existing methods struggle with independent instrument clocks, network delays, and potential interruptions.

Purpose of the Study:

  • To present the Lab Streaming Layer (LSL) as a software-based framework for synchronizing data streams.
  • To detail LSL's architecture, core features, and performance in neurophysiological and neurobehavioral applications.
  • To highlight practical considerations and limitations of using LSL for reliable data recording.

Main Methods:

  • LSL employs per-sample timestamps and network time synchronization for data stream alignment.
  • The framework incorporates features for connection recovery, offset correction, and jitter compensation.
  • Software-based synchronization is achieved across a local area network (LAN).

Main Results:

  • LSL enables continuous, millisecond-precise data recording, even with network interruptions.
  • The framework supports over 150 data acquisition device classes and interoperability across multiple programming languages.
  • LSL has proven resilient and versatile, supporting diverse applications from basic research to commercial products.

Conclusions:

  • LSL provides a robust, zero-configuration software solution for synchronizing multimodal data streams.
  • It facilitates the complex task of capturing organismal dynamics and environmental changes on a common timeline.
  • LSL is a major platform for multimodal human neurobehavioral recording and real-time analysis.