| Description |
1 online resource (xviii, 374 pages) : illustrations (some color) |
| Contents |
A mixed-filter algorithm for dynamically tracking learning from multiple behavioral and neurophysiological measures / Todd P. Coleman [and others] -- Stochastic transitions between states of neural activity / Paul Miller and Donald B. Katz -- Neural coding : variability and information / Richard B. Stein and Dirk G. Everaert -- Interactions between intrinsic and stimulus-evoked activity in recurrent neural networks / Larry F. Abbott, Kanaka Rajan, and Haim Sompolinsky -- Inherent biases in spontaneous cortical dynamics / Chou P. Hung, Benjamin M. Ramsden, and Anna Wang Roe -- Phase resetting in the presence of noise and heterogeneity / Srisairam Achuthan [and others] -- Understanding animal-to-animal variability in neuronal and network properties / Astrid A. Prinz, Tomasz G. Smolinski, and Amber E. Hudson -- Dynamical parameter and state estimation in neuron models / Henry D.I. Abarbanel [and others] -- Capturing "trial-to-trial" variations in human brain activity : from laboratory to real world / Akaysha C. Tang, Matthew T. Sutherland, and Zhen Yang -- Linking neuronal variability to perceptual decision making via neuroimaging / Paul Sajda [and others] -- Spatiotemporal dynamics of synchronous activity across multiple areas of the visual cortex in the alert monkey / Charles M. Gray and Baldwin Goodell -- Behavioral and neural variability related to stochastic choices during a mixed-strategy game / Daeyeol Lee and Hyojung Seo -- Circuit mechanisms underlying behavioral variability during recovery of consciousness following severe brain injury / Nicholas D. Schiff -- Intermittent vorticity, power spectral scaling, and dynamical measures on resting brain magnetic field fluctuations : a pilot study / Arnold J. Mandell [and others] -- Population variability and Bayesian inference / Terran Lane |
| Summary |
It is a well-known fact of neurophysiology that neuronal responses to identically presented stimuli are extremely variable. This book examines neuronal variability from theoretical, experimental and clinical perspectives |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version |
| Subject |
Neural circuitry.
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Neural networks (Neurobiology)
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Evoked potentials (Electrophysiology)
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Variability (Psychometrics)
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Neurons -- physiology
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Brain -- physiology
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Models, Neurological
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Nerve Net -- physiology
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Nerve Net
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Evoked Potentials
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MEDICAL -- Physiology.
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SCIENCE -- Life Sciences -- Human Anatomy & Physiology.
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Evoked potentials (Electrophysiology)
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Neural circuitry
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Neural networks (Neurobiology)
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Variability (Psychometrics)
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| Form |
Electronic book
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| Author |
Ding, Mingzhou.
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|
Glanzman, Dennis.
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| ISBN |
0199897042 |
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9780199897049 |
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9780199397464 |
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0199397465 |
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