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Propagation of Action Potentials

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Updated: Jun 28, 2026

Recording Network Activity in Spinal Nociceptive Circuits Using Microelectrode Arrays

Recording Network Activity in Spinal Nociceptive Circuits Using Microelectrode Arrays

Published on: February 9, 2022

Simulating cortical background activity at rest with filtered noise.

Walter J Freeman¹, Sean O'Nuallain, José Rodriguez

¹Department of Molecular and Cell Biology, University of California at Berkeley, CA 94720-3206, USA. dfreeman@berkeley.edu

Journal of Integrative Neuroscience

|November 7, 2008

Summary

This summary is machine-generated.

Simulations show that brown noise filtered into brainwave frequencies creates null power spikes, similar to those seen in electrocorticograms (ECoG). These spikes correlate with perceptual frames and may reveal underlying cortical processing mechanisms.

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

Area of Science:

Neuroscience
Signal Processing
Computational Biology

Background:

Phase slip and beat phenomena are common in wave superposition.
Brown noise (1/f^2 power spectrum) arises from cumulative random events.
Cortical function involves complex oscillatory dynamics.

Purpose of the Study:

To simulate the relationship between wave phenomena and cortical function.
To investigate the origin of null power spikes in electrocorticograms (ECoG).
To explore the role of brown noise and phase interference in neural processing.

Main Methods:

Bandpass filtering of brown noise to simulate neural frequency bands (theta, alpha, beta, gamma).
Analysis of phase interference within filtered brown noise.
Simulation of electrocorticogram (ECoG) data.
Comparison of simulated null spikes with experimental ECoG data.

Main Results:

Phase interference in bandpass-filtered brown noise generates null power spikes.
These simulated null spikes resemble those observed in human ECoG.
Null spikes align with the onset of classifiable spatial amplitude patterns.
Waveform and amplitude distributions of null spikes are similar across theta, alpha, beta, and gamma bands.

Conclusions:

Brown noise and phase interference can model null power spikes in ECoG.
Null spikes may indicate frames of perceptual information processing.
A threshold in null spike amplitude suggests a link between gamma and theta oscillations in perception.