Author : Patricia M. DiLorenzo
Release : 2013-05-02
Genre : Medical
Kind : eBook
Book Rating : 151/5 ( reviews)
Book Synopsis Spike Timing by : Patricia M. DiLorenzo
Download or read book Spike Timing written by Patricia M. DiLorenzo. This book was released on 2013-05-02. Available in PDF, EPUB and Kindle. Book excerpt: Neuronal communication forms the basis for all behavior, from the smallest movement to our grandest thought processes. Among the many mechanisms that support these functions, spike timing is among the most powerful and—until recently—perhaps the least studied. In the last two decades, however, the study of spike timing has exploded. The heightened interest is due to several factors. These include the development of physiological tools for measuring the activity of neural ensembles and analytical tools for assessing and characterizing spike timing. These advances are coupled with a growing appreciation of spike timing’s theoretical importance for the design principles of the brain. Spike Timing: Mechanisms and Function examines the function of spike timing in sensory, motor, and integrative processes, providing readers with a broad perspective on how spike timing is produced and used by the nervous system. It brings together the work and ideas of leaders in the field to address current thinking as well as future possibilities. The first section of the book describes the foundation for quantitative analysis and theory. It examines the information contained in spike timing, how it can be quantified, and how neural systems can extract it. The second section explores how input-output relationships are reflected in spike timing across a range of sensory systems. Drawing together multiple perspectives, including theoretical and computational studies as well as experimental studies in a range of model systems, the book provides a firm background for investigators to consider spike timing as it applies to their own work. It also offers a glimpse of future advances related to mechanisms of spike timing and its role in neural function, such as the development of novel computational technologies.
