Case Studies in Neural Data Analysis

The advancement of large-scale recording techniques have created a deluge of data that needs to be appropriately analyzed and interpreted. This volume comes at the right time and will certainly be a desk-companion for many neurophysiologists trying to make sense of complex data.

György Buzsáki, Biggs Professor of Neuroscience, NYU; author of Rhythms of the Brain

No one knows what the future of neuroscience will bring, but it seems certain that ever increasing amounts of complex data will be one of its hallmarks. Kramer and Eden address an important need by offering an accessible, systematic hands-on approach to data analysis. This unique and invaluable book will be greatly appreciated by everyone who faces the tough analytic challenges of modern neuroscience.

Olaf Sporns, Distinguished Professor, Indiana University; author of Networks of the Brain and Discovering the Human Connectome

Case Studies in Neural Data Analysis by Mark Kramer and Uri Eden is a significant contribution to the neuroscience and statistics literatures. By combining actual data analysis problems with the essential statistics and mathematics, Kramer and Eden take the experimental neuroscientist from having no MATLAB programming experience to being able to apply in a principled manner the most commonly used neuroscience data analysis methods. The book's clear pedagogical format makes it readily accessible to undergraduates, graduate students, postdoctoral fellows, and principal investigators. Case Studies in Neural Data Analysis is a must-read for experimental neuroscientists as well as for anyone outside of neuroscience (statisticians, physicists, computer scientists, and engineers) wishing to learn about neuroscience data analysis problems and methods.

Emery N. Brown, Edward Hood Taplin Professor of Medical Engineering, Institute for Medical Engineering and Science, MIT; Professor of Computational Neuroscience, Picower Institute for Learning and Memory, MIT; Department of Brain and Cognitive Sciences, MIT