Electric Brain Signals: Foundations and Applications of Biophysical Modeling - Couverture souple

Halnes, Geir; Ness, Torbjørn V.; Næss, Solveig; Hagen, Espen; Pettersen, Klas H.; Einevoll, Gaute T.

 
9781009018623: Electric Brain Signals: Foundations and Applications of Biophysical Modeling

Synopsis

This book is written for neuroscience students and researchers who wish to understand the brain through measurements of extracellular signals. It describes the neural origin and biophysics-based modeling of such signals, and provides computer code that can be downloaded, modified, and used to run tailored simulations.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Geir Halnes is a Research Scientist with a background in physics and theoretical biology. For the last one-and a half decade, he has worked in the Computational Neuroscience Lab at the Norwegian University of Life Sciences. His research focuses on the fundamental physical processes in neurons, glial cells and brain tissue.

Torbjørn V. Ness is a Research Scientist with a background in computational neuroscience, who has more than a decade of experience in modeling extracellular potentials, including Finite Element simulations of neural tissue and measurement equipment. Torbjørn is one of the developers of LFPy, a software for calculating brain signals from simulated neural activity.

Solveig Næss is a Senior Researcher with a background in physics. She got her Ph.D. in computational neuroscience through an international Ph.D. program at the University of Oslo, Simula Research Laboratory, and the University of California, San Diego. Solveig specializes in biophysical modeling of electric brain signals.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781316510841: Electric Brain Signals: Foundations and Applications of Biophysical Modeling

Edition présentée

ISBN 10 :  1316510840 ISBN 13 :  9781316510841
Editeur : Cambridge University Press, 2024
Couverture rigide