Spike Timing: Mechanisms and Function

Spike Timing: Mechanisms and Function

Hardback Frontiers in Neuroscience

Edited by Patricia M. Dilorenzo, Edited by Jonathan D. Victor

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  • Publisher: CRC Press Inc
  • Format: Hardback | 442 pages
  • Dimensions: 154mm x 236mm x 28mm | 780g
  • Publication date: 9 May 2013
  • Publication City/Country: Bosa Roca
  • ISBN 10: 1439838151
  • ISBN 13: 9781439838150
  • Edition: 1
  • Edition statement: New.
  • Illustrations note: 97 black & white illustrations, 23 colour illustrations, 5 black & white tables
  • Sales rank: 1,762,017

Product description

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.

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Author information

Patricia M. Di Lorenzo is Professor and Director of the Undergraduate Program in Psychobiology at Binghamton University, New York. Jonathan D. Victor is Fred Plum Professor of Neurology at Weill Medical College of Cornell University, New York.

Table of contents

Spike Timing: Tools and Models Spike Trains as Event Sequences: Fundamental Implications; Jonathan D. Victor and Sheila Nirenberg Neural Coding and Decoding with Spike Times; Ran Rubin, Robert Gutig, and Haim Sompolinsky Can We Predict Every Spike? Richard Naud and Wolfram Gerstner Statistical Identification of Synchronous Spiking; Matthew T. Harrison, Asohan Amarasingham, and Robert E. Kass Binless Estimation of Mutual Information in Metric Spaces; Ayelet-Hashahar Shapira, and Israel Nelken Measuring Information in Spike Trains about Intrinsic Brain Signals; Gautam Agarwal and Friedrich T. Sommer Role of Oscillation-Enhanced Neural Precision in Information Transmission between Brain Areas; Paul H. Tiesinga, Sasa Kozelj, and Francesco P. Battaglia Spike Timing: Coding, Decoding, and Sensation Timing Information in Insect Mechanosensory Systems; Alexander G. Dimitrov and Zane N. Aldworth Neural Encoding of Dynamic Inputs by Spike Timing; Matthew H. Higgs and William J. Spain Relating Spike Times to Perception: Auditory Detection and Discrimination; Laurel H. Carney Spike Timing and Neural Codes for Odors; Sam Reiter and Mark Stopfer Spike Timing as a Mechanism for Taste Coding in the Brainstem; Patricia M. Di Lorenzo Increases in Spike Timing Precision Improves Gustatory Discrimination upon Learning; Ranier Gutierrez and Sidney A. Simon Spike Timing in Early Stages of Visual Processing; Paul R. Martin and Samuel G. Solomon Cortical Computations Using Relative Spike Timing; Timothy J. Gawne Index