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

Neuronal Communication01:28

Neuronal Communication

3.7K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
3.7K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

4.0K
A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential....
4.0K
Neurons as Communicators of the Brain01:22

Neurons as Communicators of the Brain

3.6K
Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
The cell body, also known...
3.6K
The Synapse02:47

The Synapse

134.0K
Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
134.0K
Electrical Synapses01:28

Electrical Synapses

11.0K
Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
11.0K
Neuron Structure01:30

Neuron Structure

19.0K
Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
19.0K

You might also read

Related Articles

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

Sort by
Same author

Investigating the mechanisms underlying saccade generation in the frontal eye fields using multi-site microstimulation.

Journal of neurophysiology·2026
Same author

Brain-wide arousal signals are segregated from movement planning in the superior colliculus of the macaque.

eLife·2026
Same author

Interactions across hemispheres in prefrontal cortex reflect global cognitive processing.

Nature communications·2026
Same author

Linking reaction time variability to physiological markers of arousal across timescales.

bioRxiv : the preprint server for biology·2026
Same author

From Breath to Behavior: Respiratory Features Predict Visual Detection Performance.

bioRxiv : the preprint server for biology·2026
Same author

The role of the locus coeruleus in eye movements during perceptual decision making.

bioRxiv : the preprint server for biology·2026
Same journal

Multimodal mapping of balance dysfunction in Parkinson's disease: a consensus roadmap for research and intervention.

Current opinion in neurology·2026
Same journal

Tourette syndrome: brain neurophysiology, circuit dysfunction, and neuromodulation across invasive and noninvasive approaches.

Current opinion in neurology·2026
Same journal

Dystonia: from phenotypes to genetics and therapeutic advances.

Current opinion in neurology·2026
Same journal

What can we learn from eye movements in movement disorders and Parkinson's disease?

Current opinion in neurology·2026
Same journal

Functional movement disorders: diagnosis, pathophysiology, and treatment.

Current opinion in neurology·2026
Same journal

Galectins in the brain: advances in neuroinflammation, neuroprotection and therapeutic opportunities: Erratum.

Current opinion in neurology·2026
See all related articles

Related Experiment Video

Updated: Feb 20, 2026

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation
11:27

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation

Published on: December 8, 2018

8.6K

Early steps toward understanding neuronal communication.

Adam C Snyder1,2,3, Matthew A Smith2,3,4,5

  • 1Department of Electrical and Computer Engineering, Carnegie Mellon University.

Current Opinion in Neurology
|October 28, 2017
PubMed
Summary
This summary is machine-generated.

Brain neurons dynamically adjust their correlations to enhance information processing and task performance. Understanding these neural coordination changes offers potential therapeutic applications.

More Related Videos

Large-scale Recording of Neurons by Movable Silicon Probes in Behaving Rodents
17:37

Large-scale Recording of Neurons by Movable Silicon Probes in Behaving Rodents

Published on: March 4, 2012

35.5K
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

5.9K

Related Experiment Videos

Last Updated: Feb 20, 2026

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation
11:27

Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation

Published on: December 8, 2018

8.6K
Large-scale Recording of Neurons by Movable Silicon Probes in Behaving Rodents
17:37

Large-scale Recording of Neurons by Movable Silicon Probes in Behaving Rodents

Published on: March 4, 2012

35.5K
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

5.9K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Brain computation relies on complex neuronal interactions.
  • Quantifying neuronal interactions using correlation and coherence is crucial.
  • Advanced recording technologies facilitate simultaneous multi-neuron and multi-area recordings.

Purpose of the Study:

  • To review recent findings on neural coordination and correlation structure.
  • To explore the link between neural communication and cognitive/neurological phenomena.
  • To identify future research directions in neural coding and communication.

Main Methods:

  • Analysis of correlation and coherence in neural activity.
  • Investigation of dynamic changes in neural correlation structure.
  • Utilizing biological neural networks and computational models.

Main Results:

  • Neural correlation structure significantly impacts population encoding properties.
  • Correlation structure is adaptive and context-dependent, improving task performance.
  • Studying dynamic correlation changes enhances understanding of neural communication principles.

Conclusions:

  • Correlation and coherence are vital metrics for brain coding and communication.
  • The brain dynamically modifies correlation structure for goal-directed information processing.
  • Future research should focus on leveraging dynamic correlation changes for therapeutic interventions.