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

Electric Brain Signals

Foundations and Applications of Biophysical Modeling

• Gebundenes Buch

Produktbeschreibung

"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"--

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 400
• Erscheinungstermin: 6. Juni 2024
• Englisch
• Abmessung: 244mm x 170mm x 22mm
• Gewicht: 835g
• ISBN-13: 9781316510841
• ISBN-10: 1316510840
• Artikelnr.: 69767234

Autorenporträt

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.

Inhaltsangabe

Preface
Abbreviations
Reserved physical symbols and quantities
1. Introduction
2. Charges, currents, fields and potentials in the brain
3. Neural dynamics
4. Volume-conductor theory
5. Conductivity of brain tissue
6. Schemes for computing extracellular potentials
7. Spikes
8. Local Field Potentials (LFPs)
9. Electroencephalography (EEG)
10. Electrocorticography (ECoG)
11. Magnetoencephalography (MEG)
12. Diffusion potentials in brain tissue
13. Final comments and outlook
Appendix A frequency-dependent length constant
Appendix B derivation of the current-dipole approximation
Appendix C electric stimulation
Appendix D derivation of point-source equation for anisotropic medium
Appendix E statistical measures
Appendix F fourier-based analyses
Appendix G derivation of formulas for population signals
Appendix H equations for computing magnetic fields
Appendix I derivation of the MC+ED scheme
References
Index.