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

Graded Potential01:19

Graded Potential

10.3K
Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or...
10.3K
Action Potential01:14

Action Potential

12.2K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
12.2K
Action Potential01:14

Action Potential

7.7K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
7.7K
Action Potentials01:41

Action Potentials

149.3K
Overview
149.3K
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

4.2K
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....
4.2K
Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

17.5K
The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...
17.5K

You might also read

Related Articles

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

Sort by
Same author

Computational Modelling of Novelty Detection in the Mismatch Negativity Protocols and Its Impairments in Schizophrenia.

The European journal of neuroscience·2026
Same author

Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem.

PLoS computational biology·2025
Same author

Computational modelling of schizophrenia-associated alterations of ion-channel-encoding gene expression predicts a decrease in delta power.

bioRxiv : the preprint server for biology·2025
Same author

Computational modelling of novelty detection in the mismatch negativity protocols and its impairments in schizophrenia.

bioRxiv : the preprint server for biology·2025
Same author

Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings.

Neuron·2025
Same author

Pre- and Post-synaptic Mechanisms of Neuronal Inhibition Assessed Through Biochemically Detailed Modeling of GABA<sub>B</sub> Receptor Signaling.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same journal

Diving exposure and pulmonary stress.

The Journal of physiology·2026
Same journal

Systems modelling of mitochondrial dynamics in different exercise regimes.

The Journal of physiology·2026
Same journal

Central leptin resistance precedes obesity and drives early endocrine dysfunction.

The Journal of physiology·2026
Same journal

Decoding the molecular memory of obesity using machine learning and microRNA dynamics.

The Journal of physiology·2026
Same journal

Kinematic-calcium loops unravel impaired excitation-contraction coupling in MELAS-affected cardioids.

The Journal of physiology·2026
Same journal

hERG1 channels and potential therapeutics for long QT syndrome.

The Journal of physiology·2026
See all related articles

Related Experiment Video

Updated: Mar 22, 2026

Subcellular Patch-clamp Recordings from the Somatodendritic Domain of Nigral Dopamine Neurons
09:17

Subcellular Patch-clamp Recordings from the Somatodendritic Domain of Nigral Dopamine Neurons

Published on: November 2, 2016

15.6K

Active subthreshold dendritic conductances shape the local field potential.

Torbjørn V Ness1, Michiel W H Remme2, Gaute T Einevoll1,3

  • 1Department of Mathematical Sciences, Norwegian University of Life Sciences, Ås, Norway.

The Journal of Physiology
|April 16, 2016
PubMed
Summary
This summary is machine-generated.

Local field potential (LFP) signals can reveal information about neuronal active properties. Biophysical modeling shows subthreshold conductances, particularly h-type channels, significantly shape LFPs, influencing power spectrum resonance.

More Related Videos

Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices
12:51

Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices

Published on: November 29, 2012

17.3K
Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
10:24

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Published on: January 10, 2015

18.0K

Related Experiment Videos

Last Updated: Mar 22, 2026

Subcellular Patch-clamp Recordings from the Somatodendritic Domain of Nigral Dopamine Neurons
09:17

Subcellular Patch-clamp Recordings from the Somatodendritic Domain of Nigral Dopamine Neurons

Published on: November 2, 2016

15.6K
Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices
12:51

Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices

Published on: November 29, 2012

17.3K
Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
10:24

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings

Published on: January 10, 2015

18.0K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • The local field potential (LFP) is crucial for understanding neural circuit activity.
  • Interpreting LFP signals is challenging, with limited understanding of subthreshold active conductances' role.
  • Cortical LFP is primarily attributed to synaptic inputs, but active conductances' influence is understudied.

Purpose of the Study:

  • To investigate the impact of subthreshold dendritic conductances on LFP generation.
  • To understand how the type and distribution of active currents shape the LFP.
  • To determine if LFP can provide insights into neuronal active properties.

Main Methods:

  • Utilized biophysically detailed, experimentally constrained models of cortical pyramidal neurons.
  • Employed a modeling approach to systematically study subthreshold active conductances.
  • Analyzed the effects of varying synaptic drive distribution and active conductance density.

Main Results:

  • Subthreshold active conductances, especially the hyperpolarization-activated inward current (Ih), significantly influence LFP.
  • Identified conditions where active conductances are major LFP shapers, including asymmetric synaptic input and non-uniform conductance distribution.
  • Demonstrated that LFP power spectra can exhibit resonance due to cellular properties like h-type channels.

Conclusions:

  • Subthreshold active conductances are strongly reflected in LFP signals.
  • LFP can potentially characterize the properties and cellular distributions of active conductances.
  • Preferred frequencies in LFP may arise from cellular properties rather than solely network dynamics.