Jove
Visualize
Contact Us

Related Concept Videos

Neuronal Communication01:28

Neuronal Communication

1.4K
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...
1.4K
Electrical Synapses01:28

Electrical Synapses

8.9K
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...
8.9K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

3.3K
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....
3.3K
Neurons as Communicators of the Brain01:22

Neurons as Communicators of the Brain

1.7K
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...
1.7K
Overview of Synapses01:25

Overview of Synapses

3.0K
A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
3.0K
Synaptic Signaling01:09

Synaptic Signaling

5.8K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Alzheimer's subtypes A supervised, unsupervised, multimodal, multilayered embedded recursive (SUMMER) AI study.

bioRxiv : the preprint server for biology·2025
Same author

Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations.

Psychological medicine·2024
Same author

Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with alcohol dependence.

Research square·2024
Same author

Genomic risk for post-traumatic stress disorder in families densely affected with alcohol use disorders.

Molecular psychiatry·2023
Same author

Clinical, genomic, and neurophysiological correlates of lifetime suicide attempts among individuals with an alcohol use disorder.

medRxiv : the preprint server for health sciences·2023
Same author

Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts.

Molecular psychiatry·2022
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 Experiment Video

Updated: Sep 11, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.4K

Neural transmission in the wired brain, new insights into an encoding-decoding-based neuronal communication model.

Sivan Kinreich1

  • 1Psychiatry Department, SUNY Downstate Health Sciences University, Brooklyn, NY, USA. sivan.kinreich@downstate.edu.

Translational Psychiatry
|August 16, 2025
PubMed
Summary
This summary is machine-generated.

Brain activity exhibits a unique "beating" pattern of synchronization and desynchronization. This finding suggests a novel digital-like communication model for neural information transfer, with implications for brain-computer interfaces.

More Related Videos

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.8K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.0K

Related Experiment Videos

Last Updated: Sep 11, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.4K
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.8K
Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

5.0K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • Brain activity features complex oscillatory patterns across various frequencies.
  • The precise role of these oscillations in neuronal information transfer remains incompletely understood.
  • Existing research suggests oscillations are crucial for intra-brain communication.

Purpose of the Study:

  • To investigate the role of oscillatory activity in brain communication using electroencephalography (EEG) data.
  • To identify unique patterns of neural communication across different frequency bands and participant groups.
  • To propose a novel model of brain communication based on observed oscillatory dynamics.

Main Methods:

  • Utilized resting-state EEG data from 5 public datasets, encompassing 1668 participants (aged 5-89) with and without neurological/psychiatric conditions.
  • Performed running window Spearman correlation analysis on frontal alpha band envelopes.
  • Extended analysis across all frequency bands, electrode pairs (ipsilateral/contralateral), and conditions (eyes open/closed).

Main Results:

  • Identified a consistent pattern of rapid alternation between synchronized and desynchronized states, termed "beating," across all analyzed data.
  • Biomarker analysis revealed reduced synchronization and increased desynchronization in individuals over 50.
  • Observed significantly lower desynchronization in individuals with ADHD compared to controls.

Conclusions:

  • The observed
  • beating
  • pattern suggests a fundamental mechanism of brain communication.
  • Propose a new model where frequency modulation encodes binary messages for neural information transfer.
  • This digital-like neural coding has potential applications in brain-computer interaction and robotics.