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Modeling the electrical field created by mass neural activity.

Eran Privman¹, Rafael Malach, Yehezkel Yeshurun

¹Blavatnik School of Computer Science, Tel-Aviv University, Tel-Aviv 69978, Israel. eran.privman@gmail.com

Neural Networks : the Official Journal of the International Neural Network Society

|February 9, 2013

Summary

This study suggests that broadband gamma power increases in neural activity are primarily driven by the summed, asynchronous firing rates of neurons, not just synchronized oscillations. This finding links gamma responses to aggregate neural population activity.

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Area of Science:

Neuroscience
Computational Neuroscience
Electrophysiology

Background:

Gamma oscillations are key markers for cortical neural activity but their nature and relation to evoked response potentials (ERPs) remain unclear.
Recent research indicates gamma frequencies are part of a broadband phenomenon (30-250 Hz), challenging the traditional 40 Hz oscillator view.

Purpose of the Study:

To investigate if a simple model of increased asynchronous neural firing can generate observed gamma power increases.
To determine the influence of neural synchronization levels on gamma power.

Main Methods:

Simulated neural population activity using available neurophysiological parameters.
Examined the relationship between aggregated firing rate, synchronization levels, and gamma power.

Main Results:

Gamma power increased linearly with the aggregated firing rate of the neural population.
Synchronization levels had a limited impact on gamma power.
The broadband gamma response appears mainly driven by summed, asynchronous neural activity.

Conclusions:

The study supports the model where broadband gamma responses are primarily driven by aggregate population firing rates.
Reconstructed time-frequency spectrograms by combining broadband gamma power increases and event-related desynchronization (ERD).
Suggests a close link between broadband gamma response and aggregate neuronal firing rates.