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 : 57. 16 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 : 34. 50 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.

Fundamentals Of Tissue Engineering And Regenerative Medicine

Author : Ulrich Meyer
ISBN : 9783540777557
Genre : Medical
File Size : 53. 24 MB
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"Fundamentals of Tissue Engineering and Regenerative Medicine" provides a complete overview of the state of the art in tissue engineering and regenerative medicine. Tissue engineering has grown tremendously during the past decade. Advances in genetic medicine and stem cell technology have significantly improved the potential to influence cell and tissue performance, and have recently expanded the field towards regenerative medicine. In recent years a number of approaches have been used routinely in daily clinical practice, others have been introduced in clinical studies, and multitudes are in the preclinical testing phase. Because of these developments, there is a need to provide comprehensive and detailed information for researchers and clinicians on this rapidly expanding field. This book offers, in a single volume, the prerequisites of a comprehensive understanding of tissue engineering and regenerative medicine. The book is conceptualized according to a didactic approach (general aspects: social, economic, and ethical considerations; basic biological aspects of regenerative medicine: stem cell medicine, biomolecules, genetic engineering; classic methods of tissue engineering: cell, tissue, organ culture; biotechnological issues: scaffolds; bioreactors, laboratory work; and an extended medical discipline oriented approach: review of clinical use in the various medical specialties). The content of the book, written in 68 chapters by the world’s leading research and clinical specialists in their discipline, represents therefore the recent intellect, experience, and state of this bio-medical field.

Principles Of Neurobiological Signal Analysis

Author : Edmund Glaser
ISBN : 9780323148627
Genre : Science
File Size : 23. 72 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 Interval Timing

Author : Hugo Merchant
ISBN : 9781493917822
Genre : Medical
File Size : 68. 79 MB
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The study of how the brain processes temporal information is becoming one of the most important topics in systems, cellular, computational, and cognitive neuroscience, as well as in the physiological bases of music and language. During the last and current decade, interval timing has been intensively studied in humans and animals using increasingly sophisticated methodological approaches. The present book will bring together the latest information gathered from this exciting area of research, putting special emphasis on the neural underpinnings of time processing in behaving human and non-human primates. Thus, Neurobiology of Interval Timing will integrate for the first time the current knowledge of both animal behavior and human cognition of the passage of time in different behavioral context, including the perception and production of time intervals, as well as rhythmic activities, using different experimental and theoretical frameworks. The book will the composed of chapters written by the leading experts in the fields of psychophysics, functional imaging, system neurophysiology, and musicology. This cutting-edge scientific work will integrate the current knowledge of the neurobiology of timing behavior putting in perspective the current hypothesis of how the brain quantifies the passage of time across a wide variety of critical behaviors.

Statistical Signal Processing For Neuroscience And Neurotechnology

Author : Karim G. Oweiss
ISBN : 0080962963
Genre : Science
File Size : 39. 96 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

Laboratory Techniques In Neuropsychology And Neurobiology

Author : R. D. Myers
ISBN : 0125123019
Genre : Neurobiology
File Size : 71. 68 MB
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Neurobiology Of Mental Illness

Author : Dennis S. Charney
ISBN : 0199857547
Genre : Medical
File Size : 30. 97 MB
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This is a new edition of the first comprehensive text to show how the advances in molecular and cellular biology and in the basic neurosciences have brought the revolution in molecular medicine to the field of psychiatry. The book begins with a review of basic neuroscience and methods for studying neurobiology in human patients then proceeds to discussions of all major psychiatric syndromes with respect to knowledge of their etiology, pathophysiology, and treatment. Emphasis is placed on synthesizing information across numerous levels of analysis, including molecular biology and genetics, cellular physiology, neuroanatomy, neuropharmacology, and behavior, and in translating information from the basic laboratory to the clinical laboratory and finally to clinical treatment. Editors Dennis Charney and Eric Nestle, along with their six section editors and over 150 contributors, have revised and updated all 80 chapters from the previous edition and have added new chapters on topics relating to, for example, genetics, experimental therapeutics, and late-life mood disorders. Both a textbook and a reference book, Neurobiology of Mental Illness is intended for psychiatrists, neuroscientists, and upper level students.

Neural Network Models

Author : Philippe de Wilde
ISBN : 3540761292
Genre : Technology & Engineering
File Size : 23. 51 MB
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Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.

Methods In Psychobiology Laboratory Techniques In Neuropsychology And Neurobiology

Author : R. D. Myers
ISBN : UOM:39015049441606
Genre : Neurobiology
File Size : 47. 94 MB
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