Spike Timing (eBook, PDF)

Mechanisms and Function
Redaktion: Dilorenzo, Patricia M.; Victor, Jonathan D.

• Format: PDF

Produktbeschreibung

Neuronal communication forms the basis for all behavior, from movement to thought processes. Among the many mechanisms that support these functions, spike timing is among the most powerful. This volume examines the function of spike timing in sensory, motor, and integrative processes. 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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 442
• Erscheinungstermin: 2. Mai 2013
• Englisch
• ISBN-13: 9781439838167
• Artikelnr.: 40067354

Autorenporträt

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.

Inhaltsangabe

Introduction. SPIKE TIMING - TOOLS AND MODELS. Spike Trains as Event
Sequences: Fundamental Implications. Neural Coding and Decoding with Spike
Times. Can We Predict Every Spike? Statistical Identification of
Synchronous Spiking. Binless Estimation of Mutual Information in Metric
Spaces. Measuring Information in Spike Trains about Intrinsic Brain
Signals. The Role of Oscillation-Enhanced Neural Precision in Information
Transmission between Brain Areas. SPIKE TIMING - CODING, DECODING AND
SENSATION. Timing Information in Insect Mechanosensory Systems. Neural
Encoding of Dynamic Inputs by Spike Timing. Relating Spike Times to
Perception - Auditory Detection and Discrimination. Spike Timing and Neural
Codes for Odors. Spike Timing as a Mechanism for Taste Coding in the
Brainstem. Increases In Spike Timing Precision Improves Gustatory
Discrimination Upon Learning. Spike Timing in Early Stages of Visual
Processing. Cortical Computations Using Relative Spike Timing.