Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Action Potential

Action Potential

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...

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...

You might also read

Related Articles

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

Sort by

Same author

Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology and function.

bioRxiv : the preprint server for biology·2026

Same author

Correction: Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations.

PLoS computational biology·2026

Same author

Detection of sample swapping in anti-doping investigations using machine learning.

Scientific reports·2026

Same author

Technology Roadmap of Bioinspired Computing Hardware.

ACS nano·2026

Same author

Canagliflozin restores electrical properties and suppresses structural damage in isoproterenol-induced myocardial injury models.

Scientific reports·2025

Same author

Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip.

Nature communications·2025

Search research articles

Related Experiment Video

Updated: Jul 8, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Inferring spike trains from local field potentials.

Malte J Rasch¹, Arthur Gretton, Yusuke Murayama

¹Institute for Theoretical Computer Science, Graz University of Technology, Graz, Austria.

Journal of Neurophysiology

|December 28, 2007

Summary

Scientists can infer neural spiking activity from local field potentials (LFPs) in the visual cortex. This method accurately predicts low-frequency spike patterns but not exact spike timing.

More Related Videos

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

Multichannel Extracellular Recording in Freely Moving Mice

Multichannel Extracellular Recording in Freely Moving Mice

Published on: May 26, 2023

Related Experiment Videos

Last Updated: Jul 8, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Examining Local Network Processing using Multi-contact Laminar Electrode Recording

Published on: September 8, 2011

Multichannel Extracellular Recording in Freely Moving Mice

Multichannel Extracellular Recording in Freely Moving Mice

Published on: May 26, 2023

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Local field potentials (LFPs) reflect aggregate neural activity.
Inferring individual neuron spiking from LFPs is a significant challenge in neuroscience.

Purpose of the Study:

To determine if spike trains can be inferred solely from underlying local field potentials (LFPs).
To investigate the predictive power of different LFP features for neural spiking.

Main Methods:

Utilized support vector machines and linear regression models.
Analyzed data from the primary visual cortex (V1) of monkeys.
Examined both anesthetized and non-anesthetized animal models.

Main Results:

Spike trains were inferred from LFPs with moderate success in monkey V1.
Low-frequency spike train structure (100-ms range) was accurately predicted, but exact spike positions were not.
High gamma-range power (40-90 Hz) and low-frequency oscillations (<10 Hz) were key LFP features for prediction.
Thalamic LFPs provided no useful information for predicting spiking activity.

Conclusions:

LFPs contain information that can be used to infer neural spiking activity, particularly temporal patterns.
Prediction accuracy is influenced by LFP features, electrode distance, and brain region (cortex vs. thalamus).
Findings suggest LFPs can serve as a valuable, albeit limited, proxy for spiking activity in certain neural computations.