fundamental statistical principles for the neurobiologist

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Fundamental Statistical Principles For The Neurobiologist

Author : Stephen W. Scheff
ISBN : 9780128050514
Genre : Science
File Size : 35. 74 MB
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Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature. An introductory guide to statistics aimed specifically at the neuroscience audience Contains numerous examples with actual data that is used in the analysis Gives the investigators a starting pointing for evaluating data in easy-to-understand language Explains in detail many different statistical tests commonly used by neuroscientists

Signal Processing And Machine Learning For Biomedical Big Data

Author : Ervin Sejdic
ISBN : 9781351061216
Genre : Medical
File Size : 37. 13 MB
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This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.

Principles Of Neurobiological Signal Analysis

Author : Edmund Glaser
ISBN : 9780323148627
Genre : Science
File Size : 74. 1 MB
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Principles of Neurobiological Signal Analysis deals with the principles of signal analysis as applied to the electrical activity of the nervous system. Topics covered include biological signals, the basics of signal processing, and power spectra and covariance functions. Evoked potentials, spontaneous and driven single unit activity, and multiunit activity are also considered, along with the relations between slow wave and unit activity. This book consists of eight chapters and begins by establishing the theoretical groundwork of signal analysis, with emphasis on the properties of signal and noise; sampling and conversion of biological signals into sequences of digital numbers readily digestible by a computer; and the concepts of power spectrum and covariance analysis. The following chapters explore techniques for extracting evoked responses from background noise; multivariate statistical procedures for treating evoked response waveshapes as variables dependent upon the experimental manipulations performed upon a subject; and spike (action potential) activity generated by neurons. The final chapter describes methods for studying how such spike activity may be related to the concurrently observed slow wave (EEG-like) activity of the nervous system. This monograph will be of interest to physiologists and neurobiologists.

Neurobiology Of Aging

Author : J. Ordy
ISBN : 9781468409253
Genre : Medical
File Size : 36. 17 MB
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Aging is one of the most universal and inevitable social and sci entific challenges confronting man. The lives of all multicellular organisms begin with conception, extend through phases of development, maturity, senescence and finally end in death. Man is no exception, but has the unique feature of a complex brain. It plays an integra tive role in adaptation to the physical and social environments through reflexes, conditioning and more complex forms of learning. The brain is a repository for both inherited and acquired information. With the development of speech and the formation of symbolic language, the human brain has made it possible to transmit information cultur ally (horizontal) to other members of society, in addition to genetic (vertical) transmission to progeny. This horizontal transmission, which has reached its highest form in man, is a powerful extension of genetic transmission. The brain may provide man all that is of im portance in life. It has played a key role in the evolution of life by maintaining and extending the life span. Many mental or intellectual capacities of man reach a peak in early adulthood, remain relatively constant throughout maturity and then appear to decline during senescence. Behaviorally, there appears to be a decrease in sensory, learning and motor functions with aging in all mammalian species. As integrated adaptive control systems, the brain and neuroendocrines have been closely associated with the homeostatic adaptation to environmental challenges throughout .the life span.

Neurobiology Of Mental Illness

Author : Dennis S. Charney
ISBN : 9780190240813
Genre : Medical
File Size : 75. 1 MB
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Our understanding of the neurobiological basis of psychiatric disease has accelerated in the past five years. The fourth edition of Neurobiology of Mental Illness has been completely revamped given these advances and discoveries on the neurobiologic foundations of psychiatry. Like its predecessors the book begins with an overview of the basic science. The emerging technologies in Section 2 have been extensively redone to match the progress in the field including new chapters on the applications of stem cells, optogenetics, and image guided stimulation to our understanding and treatment of psychiatric disorders. Sections' 3 through 8 pertain to the major psychiatric syndromes-the psychoses, mood disorders, anxiety disorders, substance use disorders, dementias, and disorders of childhood-onset. Each of these sections includes our knowledge of their etiology, pathophysiology, and treatment. The final section discusses special topic areas including the neurobiology of sleep, resilience, social attachment, aggression, personality disorders and eating disorders. In all, there are 32 new chapters in this volume including unique insights on DSM-5, the Research Domain Criteria (RDoC) from NIMH, and a perspective on the continuing challenges of diagnosis given what we know of the brain and the mechanisms pertaining to mental illness. This book provides information from numerous levels of analysis including molecular biology and genetics, cellular physiology, neuroanatomy, neuropharmacology, epidemiology, and behavior. In doing so it translates information from the basic laboratory to the clinical laboratory and finally to clinical treatment. No other book distills the basic science and underpinnings of mental disorders and explains the clinical significance to the scope and breadth of this classic text. The result is an excellent and cutting-edge resource for psychiatric residents, psychiatric researchers, doctoral students, and postdoctoral fellows the neurosciences.

Methods In Psychobiology Laboratory Techniques In Neuropsychology And Neurobiology

Author : R. D. Myers
ISBN : UOM:39015049441606
Genre : Neurobiology
File Size : 22. 54 MB
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Laboratory Techniques In Neuropsychology And Neurobiology

Author : R. D. Myers
ISBN : 0125123019
Genre : Neurobiology
File Size : 66. 85 MB
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Neurobiology Of Aging

Author : J. Mark Ordy
ISBN : 0306379163
Genre : Medical
File Size : 72. 46 MB
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Postnatal Growth Neurobiology

Author : Frank Falkner
ISBN : 0306419521
Genre : Science
File Size : 78. 41 MB
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It is a source of great satisfaction to us that a Second Edition of this treatise should be called for, especially because it has given us the opportunity to produce, we believe, a better book. Eighteen chapters, amounting to one-third of the whole, are new, and of these, 13 deal with subjects not covered at all in the First Edition. We have paid more attention to embryonic and fetal growth, with chapters on cell differentiation (Lehtonen and Saxen), embryonic growth (O'Rahilly and Muller), control of fetal size (Snow), regulation of fetal growth (D'Ercole and Underwood), and ultrasonic studies offetal growth (Meire). At last the data are available for a chapter on the evolution of the human growth curve, by Eliz abeth Watts. Large parts of the endocrine section have been rewritten (by Michael Preece, and by William Crowley and Margaret Wierman), and the genetics section has been largely recast, with new contributions by William Mueller and Ronald Wilson. Reynaldo Marto rell has contributed a new chapter on growth in developing countries, and Tanner discusses growth surveys and standards as well as catch-up growth. Finally, there are two new chap ters dealing with growth as a monitor of the health of populations-one by Tadeusz Bie licki, considering the contemporary scene, and the other by Robert Fogel, on the contri bution that such studies are making to the economic history of the eighteenth and nineteenth centuries.

Statistical Signal Processing For Neuroscience And Neurotechnology

Author : Karim G. Oweiss
ISBN : 0080962963
Genre : Science
File Size : 86. 82 MB
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This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

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