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

Integration of Synaptic Events01:28

Integration of Synaptic Events

1.5K
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
1.5K
Parallel Processing01:20

Parallel Processing

149
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
149

You might also read

Related Articles

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

Sort by
Same author

Causal inference shapes crossmodal postdiction in multisensory integration.

Scientific reports·2026
Same author

Oscillatory multi-timescale mechanisms underlying audiovisual sequence prediction.

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

Author Correction: Intersensory attention deficits in schizophrenia relate to ongoing sensorimotor beta oscillations.

Schizophrenia (Heidelberg, Germany)·2025
Same author

Intersensory attention deficits in schizophrenia relate to ongoing sensorimotor beta oscillations.

Schizophrenia (Heidelberg, Germany)·2025
Same author

Sampling bias corrections for accurate neural measures of redundant, unique, and synergistic information.

bioRxiv : the preprint server for biology·2024
Same author

EEG-based speaker-listener neural coupling reflects speech-selective attentional mechanisms beyond the speech stimulus.

Cerebral cortex (New York, N.Y. : 1991)·2023
Same journal

Brain-spleen axis regulates learned fear.

Nature reviews. Neuroscience·2026
Same journal

Acetylcholine: a candidate substrate for hippocampal predictive learning?

Nature reviews. Neuroscience·2026
Same journal

Astrocytes viewed through the lens of their proteomes and subproteomes.

Nature reviews. Neuroscience·2026
Same journal

m<sup>6</sup>A in RNA: a key regulator of brain development, function and disease.

Nature reviews. Neuroscience·2026
Same journal

Non-invasive deep-brain neuromodulation by transcranial radio frequency stimulation.

Nature reviews. Neuroscience·2026
Same journal

Heading into the wild: setting the course to natural neuroscience.

Nature reviews. Neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2025

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

4.7K

Multi-timescale neural dynamics for multisensory integration.

Daniel Senkowski1, Andreas K Engel2

  • 1Department of Psychiatry and Neurosciences, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Nature Reviews. Neuroscience
|August 1, 2024
PubMed
Summary
This summary is machine-generated.

The human brain seamlessly integrates sensory information using complex neural oscillations. This perspective proposes a new concept emphasizing multi-timescale neural dynamics for flexible multisensory integration (MI).

More Related Videos

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
09:13

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

16.5K
Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
07:52

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

Published on: May 23, 2025

96

Related Experiment Videos

Last Updated: Jun 18, 2025

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

4.7K
Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder
09:13

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

16.5K
Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
07:52

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

Published on: May 23, 2025

96

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Neuroscience

Background:

  • Everyday tasks require rapid integration and segregation of multisensory stimuli.
  • Current artificial intelligence cannot replicate the human brain's multisensory processing capabilities.
  • Neural mechanisms underlying multisensory integration (MI) are not fully understood.

Purpose of the Study:

  • To review recent findings on oscillatory neural mechanisms mediating multisensory integration.
  • To explore multi-timescale dynamics in neural activity during MI.
  • To propose a novel concept of MI based on multi-timescale neural dynamics.

Main Methods:

  • Review of recent research on oscillatory neural mechanisms (power modulations, phase resetting, phase-amplitude coupling, dynamic functional connectivity).
  • Analysis of studies on multi-timescale dynamics in intrinsic and stimulus-driven neural activity.
  • Conceptual framework development for multisensory integration.

Main Results:

  • Oscillatory neural mechanisms play a critical role in mediating multisensory integration.
  • Multi-timescale dynamics are evident in both ongoing and stimulus-evoked neural activity.
  • A new concept of MI highlights the importance of neural dynamics across multiple timescales.

Conclusions:

  • Multisensory integration relies on flexible coordination of neural dynamics at multiple timescales.
  • This multi-timescale framework enables simultaneous information processing (integration, segregation, selection) in different time windows.
  • Understanding these dynamics offers insights into adaptive and flexible multisensory perception in real-world scenarios.