This book examines neuronal variability from theoretical, experimental and clinical perspectives.
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Dennis Glanzman is Chief of the Theoretical and Computational Neuroscience Research Program at the National Institute of Mental Health, where he oversees a portfolio focused on the development and application of realistic models for the analysis and understanding of brain function. He was co-organizer of the joint NIH-NSF "Collaborative Research in Computational Neuroscience" Program which supports innovative interdisciplinary collaborative research to make significant advances in the understanding of nervous system function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.
Mingzhou Ding is J. Crayton Pruitt Family Professor in the Department of Biomedical Engineering at the University of Florida. His past work dealt with nonlinear dynamical systems and stochastic processes. Currently, he is interested in cognitive neuroscience and related computational and signal processing problems.
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Hardcover. Condition: Fine. Leichte Risse. Neuronal responses to identical stimuli exhibit significant variability, often previously labeled as "noise." At the single neuron level, interspike interval (ISI) histograms during spontaneous or stimulus-evoked activity show a Poisson distribution, suggesting that neurons have intrinsic firing variability. Traditional averaging techniques, such as post-stimulus time histograms (PSTH) and event-related potentials (ERPs), have been used based on the assumption of noise in neuronal responses. However, recent studies measuring the information content of single neuron spike trains indicate that substantial information can be encoded even amid trial-to-trial variability. Experiments involving multiple single-unit recordings suggest that variability once deemed noise may reflect broader changes in cellular response properties. This raises the intriguing possibility that variability in neuronal responses could contain meaningful information for the nervous system's processing. To explore how neurons collaborate for coherent behavior and its disruptions in disease, neuroscientists now record simultaneously from hundreds of neurons across different brain areas, analyzing network activities through interdependence measures like cross-correlation, phase synchronization, and spectral coherence. This work delves into neuronal variability from theoretical, experimental, and clinical angles. Seller Inventory # f83c7c04-a57d-433e-a49d-a859c5e192d5
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 392 | Sprache: Englisch | Produktart: Bücher | To understand how neurons work to bring about coherent behavior and its breakdown in disease, neuroscientists must take into account both known and unknown sources of variability, and evaluate network activities by computing interdependence measures among neurons and among different brain areas. This book examines neuronal variability from theoretical, experimental and clinical perspectives. Seller Inventory # 8816943/1
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