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Related Concept Videos

Neuronal Communication01:28

Neuronal Communication

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...
Electrical Synapses01:28

Electrical Synapses

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...
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Electrochemical Gradient and Channel Proteins: An Overview

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Neural Circuits01:25

Neural Circuits

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.
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The Synapse02:47

The Synapse

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.
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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.
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Related Experiment Video

Updated: Jul 2, 2026

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures
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Published on: May 7, 2017

Basic properties of electrical field coupling between neurons: an analytical approach.

Robert Costalat1, Gilbert Chauvet

  • 1UMPC Univ Paris 06, INSERM U678, F-75013 Paris, France. rcostala@snv.jussieu.fr

Journal of Integrative Neuroscience
|September 4, 2008
PubMed
Summary

Electrical field coupling between neurons is modeled mathematically. Key parameters like coupling coefficient k influence this effect, suggesting its importance in densely packed brain regions.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Mathematical Biology

Background:

  • Neuronal communication involves electrical signaling.
  • Interactions between neurons can extend beyond direct synaptic connections.
  • Understanding non-synaptic influences is crucial for brain function.

Purpose of the Study:

  • To investigate the fundamental properties of electrical field coupling between parallel neurons.
  • To extend the analysis to more complex neuronal structures like dendritic trees and networks.
  • To identify key parameters governing electrical field effects in neural tissue.

Main Methods:

  • Utilized a mathematical model based on Laplace transform and matrix algebra.
  • Assumed linear electrical properties for neuronal membranes.
  • Extended the model to analyze unidimensional systems, ramified dendritic trees, and synaptically activated neuron sets.

Main Results:

  • Electrical field coupling is governed by geometrical and electrophysiological parameters.
  • A significant parameter identified is the coupling coefficient (k).
  • The coupling coefficient (k) depends on resistivity (intra- and extracellular) and extracellular volume fraction.

Conclusions:

  • Electrical field effects are significant in densely packed neuronal regions.
  • These effects can occur independently of, or prior to, action potential firing.
  • The findings support the role of electrical field coupling in neural computation and information processing.