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

Nonconscious Mimicry01:13

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
Optimal Arousal Theory01:23

Optimal Arousal Theory

The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
Muscle Stimulation Frequency01:22

Muscle Stimulation Frequency

The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...

You might also read

Related Articles

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

Sort by
Same author

Multisensory integration of stimulus-driven and goal-driven signals during urgent saccadic choices.

bioRxiv : the preprint server for biology·2026
Same author

Functional effect predictions for ion channel missense variants using a protein language model.

Journal of human genetics·2026
Same author

Transition of the presynaptic vesicle cluster from a compact to dispersed organization during long-term potentiation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Synaptic spine head morphodynamics from graph grammar rules for actin dynamics.

bioRxiv : the preprint server for biology·2026
Same author

Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

Biological cybernetics·2026
Same author

Balancing Stability and Flow in Hippocampal Networks via Inductive Bias and Learned Symmetry Breaking.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jun 9, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

Synchronization as a mechanism for attentional gain modulation.

Paul H E Tiesinga1, Jean-Marc Fellous, Emilio Salinas

  • 1Department of Physics & Astronomy, University of North Carolina at Chapel Hill, 184 Phillips Hall, Chapel Hill, NC 27599, USA.

Neurocomputing
|August 31, 2010
PubMed
Summary

Attention modulates neural responses by altering inhibitory network synchrony. Increased synchrony enhances neural coherence with the local field potential (LFP), affecting firing rate gain or sensitivity based on response curve saturation.

More Related Videos

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

Related Experiment Videos

Last Updated: Jun 9, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
09:37

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective
13:57

Assessing the Multiple Dimensions of Engagement to Characterize Learning: A Neurophysiological Perspective

Published on: July 1, 2015

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neural responses in the visual cortex change with directed attention.
  • These changes include increased response gain/sensitivity and enhanced spike-local field potential (LFP) synchronization.

Purpose of the Study:

  • To investigate if inhibitory network synchrony can explain attention-modulated neural responses.
  • To explore the relationship between inhibitory synchrony and observed changes in neural firing rates and coherence.

Main Methods:

  • Utilized computational model simulations to investigate neural network dynamics.
  • Simulated the effects of varying inhibitory synchrony on neuronal firing rates and LFP coherence.

Main Results:

  • Increased inhibitory synchrony enhanced neuronal coherence with the simulated LFP.
  • The impact on firing rate depended on the saturation of the firing rate vs. current (f-I) curves: sensitivity shifts occurred with saturated curves, while gain changes occurred with non-saturating curves.

Conclusions:

  • Changes in inhibitory network synchrony offer a potential mechanism linking attention-modulated neural responses.
  • Attention may influence neuronal processing through alterations in the synchrony of inhibitory circuits.