Neural Mass Modeling of the EEG

Rikkert Hindriks

doi:10.1007/978-3-662-61184-5_7

Neural Mass Modeling of the EEG

Rikkert Hindriks

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Abstract

This chapter discusses neural mass models and EEG rhythms. We start with a simple model, adding additional components step-by-step, eventually resulting in coupled neural masses that simulate a physiological EEG rhythm with a peak frequency in the 8–13 Hz ( α ) frequency range. While this chapter focuses on physiology, we will learn in later chapters that neural mass models also find applications in furthering our understanding of pathological EEG patterns as present during seizures or anoxia.

Original language	English
Title of host publication	Dynamics of Neural Networks
Subtitle of host publication	A Mathematical and Clinical Approach
Editors	Michel J.A.M. van Putten
Place of Publication	Berlin
Publisher	Springer_Verlag
Chapter	7
Pages	153-174
Number of pages	22
ISBN (Electronic)	9783662611845
ISBN (Print)	9783662611821
DOIs	https://doi.org/10.1007/978-3-662-61184-5_7
Publication status	Published - 2020

Bibliographical note

Part of: IV, The Electroencephalogram.

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10.1007/978-3-662-61184-5_7

Neural Mass Modeling of the EEGFinal published version, 840 KBLicence: Article 25fa Dutch Copyright Act

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AB - This chapter discusses neural mass models and EEG rhythms. We start with a simple model, adding additional components step-by-step, eventually resulting in coupled neural masses that simulate a physiological EEG rhythm with a peak frequency in the 8–13 Hz ( α ) frequency range. While this chapter focuses on physiology, we will learn in later chapters that neural mass models also find applications in furthering our understanding of pathological EEG patterns as present during seizures or anoxia.

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Neural Mass Modeling of the EEG

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