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

Frequency-dependent Selection01:21

Frequency-dependent Selection

23.4K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
23.4K
What is a Frequency Distribution00:51

What is a Frequency Distribution

26.2K
A frequency is the number of times a value of the data occurs. The sum of all the frequency values represents the total number of students included in the sample. It is commonly used to group data of quantitative types. Frequency distributions can be displayed in a table, histogram, line graph, dot plot, or pie chart, just to name a few. A histogram is a graphical representation of tabulated frequencies, shown as adjacent rectangles, erected over discrete intervals (bins), with an area equal to...
26.2K
Mean From a Frequency Distribution01:11

Mean From a Frequency Distribution

21.6K
Sometimes, data gathered from an experiment on a large sample or population are organized into concise tables. In such cases, the frequency of the quantitative data set is plotted in the form of a table. Or else, the data values are grouped into the quantity’s intervals, which form classes, and their respective frequencies are known. That is, the data values are distributed over different categories or classes. This is known as frequency distribution.
When such a data set is encountered,...
21.6K
Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

8.4K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
8.4K
Excitation-Contraction Coupling in Skeletal Muscles01:20

Excitation-Contraction Coupling in Skeletal Muscles

14.6K
Excitation-contraction coupling is a series of events that occur between generating an action potential and initiating a muscle contraction. It occurs at the triad, a structure found in skeletal muscle fibers that comprise a T-tubule and terminal cisternae of the sarcoplasmic reticulum on each side. These triads are visible in longitudinally sectioned muscle fibers. They are typically located at the A-I junction — the junction between the A and I bands of the sarcomere.
When an action...
14.6K
Frequency Response of BJT01:24

Frequency Response of BJT

1.4K
The frequency response of a Bipolar Junction Transistor (BJT) in a common-emitter configuration is critical to its functionality, especially in applications involving amplification of alternating current (AC) signals. This response can be analyzed through low-frequency and high-frequency equivalent circuits, considering various internal parameters and external conditions.
Low-Frequency Response: At low frequencies, the behavior of the BJT is determined by its DC bias point, which is set by the...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Factors associated with chronic depressive symptoms across adolescence and young adulthood: a UK birth cohort study.

Epidemiology and psychiatric sciences·2024
Same author

Drones can reliably, accurately and with high levels of precision, collect large volume water samples and physio-chemical data from lakes.

The Science of the total environment·2022
Same author

Non-invasive transcranial ultrasound stimulation for neuromodulation.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2022
Same author

A degraded state of consciousness in healthy awake humans?

Brain stimulation·2021
Same author

Long-range phase synchronization of high-frequency oscillations in human cortex.

Nature communications·2020
Same author

Dispersion of <i>Echinococcus granulosus</i> eggs from infected dogs under natural conditions in Patagonia, Argentina.

Journal of helminthology·2019
Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.4K

Probing cortical excitability using rapid frequency tagging.

A Zhigalov1, J D Herring2, J Herpers3

  • 1Centre for Human Brain Health, School of Psychology, University of Birmingham, UK.

Neuroimage
|April 2, 2019
PubMed
Summary
This summary is machine-generated.

High-frequency tagging (HFT) using a novel projector overcomes visible flicker issues. This method enhances steady-state visual evoked responses with spatial attention, aiding sensory processing research.

More Related Videos

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe
12:19

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Published on: September 15, 2016

7.5K
Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy
10:35

Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy

Published on: June 13, 2017

32.1K

Related Experiment Videos

Last Updated: Jan 27, 2026

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations
06:51

Microparticle Manipulation by Standing Surface Acoustic Waves with Dual-frequency Excitations

Published on: August 21, 2018

7.4K
Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe
12:19

Rapid Subtractive Patterning of Live Cell Layers with a Microfluidic Probe

Published on: September 15, 2016

7.5K
Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy
10:35

Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy

Published on: June 13, 2017

32.1K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Frequency tagging is crucial for studying visual selective attention.
  • Traditional methods use low frequencies (<30 Hz), causing visible flicker that can interfere with perception and neural oscillations (theta, alpha, beta bands).

Purpose of the Study:

  • To introduce and validate high-frequency tagging (HFT) using a 1440 Hz projector for studying visual attention.
  • To investigate the neural correlates of spatial attention using HFT and magnetoencephalography (MEG).

Main Methods:

  • Developed a novel projector capable of 1440 Hz refresh rate for high-frequency tagging.
  • Participants performed a cued spatial attention task with stimuli presented at 63 Hz or 78 Hz.
  • Whole-head magnetoencephalography (MEG) was used to measure brain responses.

Main Results:

  • Posterior sensors showed significant steady-state visually evoked responses (SSVERs) at the tagged frequencies.
  • Spatial attention significantly enhanced the SSVERs.
  • Alpha band oscillations showed typical contralateral suppression with attention, correlating with SSVERs.

Conclusions:

  • High-frequency tagging is a viable method for studying sensory processing and attention.
  • HFT overcomes limitations of low-frequency tagging, offering a clearer window into neural mechanisms of attention.