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Propagation of Action Potentials

Propagation of Action Potentials

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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Related Experiment Video

Updated: May 12, 2026

Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents

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Published on: May 23, 2025

Local field potentials reflect multiple spatial scales in V4.

Patrick J Mineault¹, Theodoros P Zanos, Christopher C Pack

¹Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University Montreal, QC, Canada.

Frontiers in Computational Neuroscience

|March 28, 2013

Summary

This summary is machine-generated.

Local field potentials (LFPs) reflect neural activity at multiple scales. This study reveals LFPs contain both local multi-unit activity (MUA) and widespread network signals in V4.

Keywords:

V4 local field potentials multiunit activity receptive field visual cortex

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Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Local field potentials (LFPs) are widely used to study neuronal circuit activity.
The spatial scale of LFP recordings remains debated, with estimates varying significantly.

Purpose of the Study:

To investigate the spatial scales reflected by LFPs in area V4 of the macaque visual cortex.
To differentiate between local and large-scale network contributions to LFPs.

Main Methods:

Estimation of receptive fields (RFs) for multi-unit activity (MUA) and LFPs in area V4.
Model-based analysis of stimulus-triggered LFP components.
Comparison of LFP and MUA retinotopy across different time lags.

Main Results:

LFP receptive field structure varied dynamically with time after stimulus onset.
Two distinct LFP components were identified: a local MUA-like component (~350 μm) and a widespread V4 component.
The widespread LFP component exhibited tuning properties independent of MUA.

Conclusions:

LFPs integrate neural information across multiple spatial scales in V4.
This multi-scale nature of LFPs presents challenges for interpretation but offers insights into large-scale network processing.