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

Neurons: The Axon01:21

Neurons: The Axon

10.0K
Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment....
10.0K
Neural Circuits01:25

Neural Circuits

3.1K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.1K
Neuron Structure01:31

Neuron Structure

235.2K
Overview
235.2K
Neuron Structure01:30

Neuron Structure

20.5K
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...
20.5K
Neurons as Communicators of the Brain01:22

Neurons as Communicators of the Brain

4.0K
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...
4.0K
Neuronal Communication01:28

Neuronal Communication

4.2K
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...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia.

Journal of computational neuroscience·2024
Same author

Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach.

Frontiers in computational neuroscience·2024
Same author

A Theoretical Comparison of Alternative Male Mating Strategies in Cephalopods and Fishes.

Bulletin of mathematical biology·2024
Same author

Inhibitory control of locomotor statistics in walking <i>Drosophila</i>.

bioRxiv : the preprint server for biology·2024
Same author

Mean-field analysis of synaptic alterations underlying deficient cortical gamma oscillations in schizophrenia.

Research square·2024
Same author

Altered Rbfox1-Vamp1 pathway and prefrontal cortical dysfunction in schizophrenia.

Molecular psychiatry·2024
Same journal

Targeting intracranial electrical stimulation to network regions defined within individuals causes network-level effects.

Journal of neurophysiology·2026
Same journal

When "Noise" Isn't Simply Noise: Deterministic Postural Drive During Noisy Galvanic Vestibular Stimulation (nGVS).

Journal of neurophysiology·2026
Same journal

Abrupt Scene Onsets and Gradually Emerging Scene Information Produce Distinct EEG Decoding Dynamics.

Journal of neurophysiology·2026
Same journal

From discovery to translation: charting a course for the <i>Journal of Neurophysiology</i>.

Journal of neurophysiology·2026
Same journal

Neuromodulatory Strategies Overcome Multiple Inevitable Impairments of Cerebral Palsy.

Journal of neurophysiology·2026
Same journal

Acute Fentanyl Toxicity:From Opioid-Induced to Hypoxia-Mediated Pathophysiology.

Journal of neurophysiology·2026
See all related articles

Related Experiment Video

Updated: Mar 14, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.4K

Neurons as oscillators.

Klaus M Stiefel1, G Bard Ermentrout2

  • 1Neurolinx Research Institute, La Jolla, California; and.

Journal of Neurophysiology
|September 30, 2016
PubMed
Summary
This summary is machine-generated.

Neurons function as oscillators, with their phase-response curve (PRC) predicting network behavior. Understanding neuronal oscillators offers insights into systems neuroscience and brain network dynamics.

Keywords:
circuitsoscillatorsphases resettingsynchronization

More Related Videos

Generation of Local CA1 &#947; Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.6K
Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.8K

Related Experiment Videos

Last Updated: Mar 14, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.4K
Generation of Local CA1 &#947; Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.6K
Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
09:35

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Published on: March 10, 2017

9.8K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Mathematical Biology

Background:

  • Regularly spiking neurons exhibit oscillatory properties.
  • The phase-response curve (PRC) quantifies a neuron's response to perturbations.
  • Neuronal oscillations are fundamental to brain function and information processing.

Purpose of the Study:

  • To review insights from conceptualizing neurons as oscillators.
  • To explore the relevance of the phase-response curve (PRC) in systems neuroscience.
  • To connect single-neuron properties to neural network behavior.

Main Methods:

  • Explaining the concept of neurons as oscillators.
  • Defining and reviewing the phase-response curve (PRC).
  • Relating PRC to neuronal firing measures and network dynamics predictions.

Main Results:

  • The PRC characterizes single neuron responses and predicts network synchronization.
  • Neuronal firing measures like spike-triggered average and peristimulus histogram relate to PRC.
  • Network response to correlated inputs depends on PRC shape.

Conclusions:

  • The phase-response curve (PRC) is a powerful tool for predicting neural network behavior.
  • Understanding neuronal oscillators provides mechanistic explanations for systems neuroscience.
  • Mathematical models of neurons as oscillators offer testable hypotheses for brain function.