Quantitative Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic Applications (Biocomputing, 2)

Pardalos, Panos M.; Sackellares, J. Chris; Carney, Paul R.; Iasemidis, Leon D.

ISBN 10: 1402077513 / ISBN 13: 9781402077517

Published by Springer (edition 2004), 2004

About this Item

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Seller Inventory # 1402077513-11-1

Bibliographic Details

• Title: Quantitative Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic Applications (Biocomputing, 2)
• Publisher: Springer (edition 2004)
• Publication Date: 2004
• Language: English
• ISBN 10: 1402077513
• ISBN 13: 9781402077517
• Binding: Hardcover
• Edition: 2004.
• Condition: Good

About this title

Synopsis

Advances in the field of signal processing, nonlinear dynamics, statistics, and optimization theory, combined with marked improvement in instrumenta­ tion and development of computers systems, have made it possible to apply the power of mathematics to the task of understanding the human brain. This verita­ ble revolution already has resulted in widespread availability of high resolution neuroimaging devices in clinical as well as research settings. Breakthroughs in functional imaging are not far behind. Mathematical tech­ niques developed for the study of complex nonlinear systems and chaos already are being used to explore the complex nonlinear dynamics of human brain phys­ iology. Global optimization is being applied to data mining expeditions in an effort to find knowledge in the vast amount of information being generated by neuroimaging and neurophysiological investigations. These breakthroughs in the ability to obtain, store and analyze large datasets offer, for the first time, exciting opportunities to explore the mechanisms underlying normal brain func­ tion as well as the affects of diseases such as epilepsy, sleep disorders, movement disorders, and cognitive disorders that affect millions of people every year. Ap­ plication of these powerful tools to the study of the human brain requires, by necessity, collaboration among scientists, engineers, neurobiologists and clini­ cians. Each discipline brings to the table unique knowledge, unique approaches to problem solving, and a unique language.