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Dynamic Neuroscience : Statistics, Modeling, and Control - Zhe Chen

Dynamic Neuroscience

Statistics, Modeling, and Control

By: Zhe Chen (Editor), Sridevi V. Sarma (Editor)

eText | 27 December 2017

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This book shows how to develop efficient quantitative methods to characterize neural data and extra information that reveals underlying dynamics and neurophysiological mechanisms. Written by active experts in the field, it contains an exchange of innovative ideas among researchers at both computational and experimental ends, as well as those at the interface. Authors discuss research challenges and new directions in emerging areas with two goals in mind: to collect recent advances in statistics, signal processing, modeling, and control methods in neuroscience; and to welcome and foster innovative or cross-disciplinary ideas along this line of research and discuss important research issues in neural data analysis. Making use of both tutorial and review materials, this book is written for neural, electrical, and biomedical engineers; computational neuroscientists; statisticians; computer scientists; and clinical engineers.

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Non-FictionMedicineNursing & Ancillary ServicesBiomedical EngineeringEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringClinical & Internal MedicineNeurology & Clinical NeurophysiologyMathematicsProbability & StatisticsApplied Mathematics
Other Technologies & Applied SciencesApplied OpticsImaging Systems & TechnologyScienceBiology, Life SciencesLife Sciences in GeneralNeurosciencesTechnology in GeneralEngineering in GeneralScience in GeneralComputing & I.T.Computer ScienceDigital Signal Processing (DSP)

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