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Related Concept Videos

Action Potential01:14

Action Potential

10.8K
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...
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Action Potential01:31

Action Potential

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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...
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Action Potentials01:41

Action Potentials

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Overview
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Propagation of Action Potentials01:23

Propagation of Action Potentials

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The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
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Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

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Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the...
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Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

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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...
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Related Experiment Video

Updated: Jan 18, 2026

Simultaneous Intracellular Recording of a Lumbar Motoneuron and the Force Produced by its Motor Unit in the Adult Mouse In vivo
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Simulation insights on the compound action potential in multifascicular nerves.

Joseph James Tharayil1,2, Ciro Zinno3, Filippo Agnesi3

  • 1Blue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL) Campus Biotech, Geneva, Switzerland.

Plos Computational Biology
|September 12, 2025
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Summary

Researchers developed a new model for neuron signals that accurately predicts evoked compound action potential (eCAP) in nerves. This model helps optimize nerve stimulation and recording setups for bioelectronic medicine.

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Area of Science:

  • Computational neuroscience
  • Bioelectromagnetics
  • Neural engineering

Background:

  • Accurate modeling of neural signals is crucial for advancing bioelectronic medicine and understanding nerve function.
  • Existing models often struggle with heterogeneous nerve environments and complex electrode geometries.

Purpose of the Study:

  • To develop and validate a computational model for simulating evoked compound action potential (eCAP) signals in multi-fascicular nerves.
  • To investigate the influence of nerve structure and stimulation parameters on eCAP signals.
  • To demonstrate the model's utility in optimizing nerve stimulation and recording configurations.

Main Methods:

  • Developed an extended reciprocity theorem approach for neuron signal modeling.
  • Established a semi-analytic model integrating hybrid electromagnetic-electrophysiological simulations.
  • Validated the model against in vivo porcine vagus nerve stimulation experiments using cuff electrodes.

Main Results:

  • The semi-analytic model accurately predicted the shape and amplitude of in vivo eCAP recordings.
  • The model accounts for variations in eCAP due to electrode placement and shape.
  • Partially activated fascicles significantly contribute to the eCAP, and signal magnitude is not monotonically related to stimulation current.

Conclusions:

  • The developed model provides a powerful tool for assessing nerve stimulation and recording setups.
  • It enables optimization for signal information content and closed-loop control in bioelectronic medicine.
  • The method shows potential for non-destructive reconstruction of nerve topology via inverse problem solving.