{"product_id":"electric-brain-signals-foundations-and-applications-of-biophysical-modeling-paperback-softback-9781009018623","title":"Electric Brain Signals; Foundations and Applications of Biophysical Modeling (Paperback \/ softback) 9781009018623","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eElectric Brain Signals\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eFoundations and Applications of Biophysical Modeling\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003ePresents biophysical theory and computer code for modelling and interpreting extracellular electric and magnetic brain signals.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eGeir Halnes (Author), Torbjørn V. Ness (Author), Solveig Næss (Author), Espen Hagen (Author), Klas H. Pettersen (Author), Gaute T. Einevoll (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781009018623, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 6 June 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e400 pages\u003cbr\u003e24.3 x 16.8 x 2.1 cm, 0.7 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'This book is a fantastic resource for the computational neuroscience community and beyond. The introductory 'guide' is outstanding in its clarity and description for readers with a range of backgrounds. The presentation is rigorous and detailed with many mathematical equations, and yet readable and understandable, with many figures. The authors are to be commended for their clearly defined terminologies and presentation of complex concepts. A gem of a read for anyone wanting to develop an in-depth understanding of electrical brain recordings and models of them.' Frances K. Skinner, Krembil Brain Institute, University Health Network and University of Toronto, Toronto, Ontario, Canada\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eIt is common to study the electric activity of neurons by measuring the electric potential in the extracellular space of the brain. However, interpreting such measurements requires knowledge of the biophysics underlying the electric signals. Written by leading experts in the field, this volume presents the biophysical foundations of the signals as well as results from long-term research into biophysics-based forward-modeling of extracellular brain signals. This includes applications using the open-source simulation tool LFPy, developed and provided by the authors. Starting with the physical theory of electricity in the brain, this book explains how this theory is used to simulate neuronal activity and the resulting extracellular potentials. Example applications of the theory to model representations of real neural systems are included throughout, making this an invaluable resource for students and scientists who wish to understand the brain through analysis of electric brain signals, using biophysics-based modeling.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface\u003cbr\u003e Abbreviations\u003cbr\u003e Reserved physical symbols and quantities\u003cbr\u003e 1. Introduction\u003cbr\u003e 2. Charges, currents, fields and potentials in the brain\u003cbr\u003e 3. Neural dynamics\u003cbr\u003e 4. Volume-conductor theory\u003cbr\u003e 5. Conductivity of brain tissue\u003cbr\u003e 6. Schemes for computing extracellular potentials\u003cbr\u003e 7. Spikes\u003cbr\u003e 8. Local Field Potentials (LFPs)\u003cbr\u003e 9. Electroencephalography (EEG)\u003cbr\u003e 10. Electrocorticography (ECoG)\u003cbr\u003e 11. Magnetoencephalography (MEG)\u003cbr\u003e 12. Diffusion potentials in brain tissue\u003cbr\u003e 13. Final comments and outlook\u003cbr\u003e Appendix A frequency-dependent length constant\u003cbr\u003e Appendix B derivation of the current-dipole approximation\u003cbr\u003e Appendix C electric stimulation\u003cbr\u003e Appendix D derivation of point-source equation for anisotropic medium\u003cbr\u003e Appendix E statistical measures\u003cbr\u003e Appendix F fourier-based analyses\u003cbr\u003e Appendix G derivation of formulas for population signals\u003cbr\u003e Appendix H equations for computing magnetic fields\u003cbr\u003e Appendix I derivation of the MC+ED scheme\u003cbr\u003e References\u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Biophysics [\u003ca title=\"See our other books on Biophysics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Biophysics%20%5BPHVN%5D%22\"\u003ePHVN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Brand New","offer_id":52173816693016,"sku":"9781009018623","price":45.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781009018623i.jpg?v=1781173314","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/electric-brain-signals-foundations-and-applications-of-biophysical-modeling-paperback-softback-9781009018623","provider":"Freshly Printed Books","version":"1.0","type":"link"}