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.…mehr
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.
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.
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.
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