Brain Signal Analysis: Advances in Neuroelectric and Neuromagnetic Methods (The MIT Press)

Handy, Todd C. [Editor]; Lalor, Edmund C. [Contributor]; Pearlmutter, Barak A. [Contributor]; Foxe, John J. [Contributor]; Murray, Micah M. [Contributor]; Lucia, Marzia De [Contributor]; Brunet, Denis [Contributor]; Michel, Christoph M. [Contributor]; Menendez, Rolando Grave de Peralta [Contributor]; Thut, Gregor [Contributor]; Landis, Theodor [Contributor]; Andino, Sara L. Gonzalez [Contributor]; Green, Jessica J. [Contributor]; McDonald, John J. [Contributor]; Herdman, Anthony T. [Contributor]; Cheyne, Douglas [Contributor]; Kiebel, Stefan J. [Contributor]; Garrido, Marta I. [Contributor]; Friston, Karl J. [Contributor]; Ward, Lawrence M. [Contributor]; Doesburg, Sam M. [Contributor]; Talsma, Durk [Contributor]; Harmelen, Anne-Laura van [

ISBN 10: 0262013088 / ISBN 13: 9780262013086

Published by The MIT Press, 2009

About this Item

Very Good Condition- May show some limited signs of wear and may have a black line or red dot on edge of pages. Pages and dust cover are intact and not marred by notes or highlighting. Seller Inventory # MIT-HC-VG-M-0262013088

Bibliographic Details

Title: Brain Signal Analysis: Advances in ...

Publisher: The MIT Press

Publication Date: 2009

Binding: Hardcover

Condition: Very Good

Edition: First Edition.

About this title

Synopsis:

Recent developments in the tools and techniques of data acquisition and analysis in cognitive electrophysiology.

Cognitive electrophysiology concerns the study of the brain's electrical and magnetic responses to both external and internal events. These can be measured using electroencephalograms (EEGs) or magnetoencephalograms (MEGs). With the advent of functional magnetic resonance imaging (fMRI), another method of tracking brain signals, the tools and techniques of ERP, EEG and MEG data acquisition and analysis have been developing at a similarly rapid pace, and this book offers an overview of key recent advances in cognitive electrophysiology. The chapters highlight the increasing overlap in EEG and MEG analytic techniques, describing several methods applicable to both; they discuss recent developments, including reverse correlation methods in visual-evoked potentials and a new approach to topographic mapping in high-density electrode montage; and they relate the latest thinking on design aspects of EEG/MEG studies, discussing how to optimize the signal-to-noise ratio as well as statistical developments for maximizing power and accuracy in data analysis using repeated-measure ANOVAS.

Contributors
Denis Brunet, Douglas Cheyne, Marzia De Lucia, Sam M. Doesburg, John J. Foxe, Karl J. Friston, Marta I. Garrido, Sara L. Gonzalez Andino, Rolando Grave de Peralta Menendez, Jessica J. Green, Todd C. Handy, Anthony T. Herdman, Stefan J. Kiebel, Edmund C. Lalor, Theodor Landis, Teresa Y. L. Liu-Ambrose, John. J. McDonald, Christoph M. Michel, Marla J. S. Mickleborough, Micah M. Murray, Lindsay S. Nagamatsu, Barak A. Pearlmutter, Durk Talsma, Gregor Thut, Anne-Laura van Harmelen, Lawrence M. Ward

About the Author:

Todd C. Handy is Associate Professor in the Psychology Department at the University of British Columbia, where he runs the Neuroimaging Lab. He is the editor of Event-Related Potentials: A Methods Handbook (MIT Press, 2004).