Fundamental Statistical Principles For The Neurobiologist

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Fundamental Statistical Principles for the Neurobiologist

Author : Stephen W. Scheff
Publisher : Academic Press
ISBN 13 : 0128050519
Total Pages : 236 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Fundamental Statistical Principles for the Neurobiologist by : Stephen W. Scheff

Download or read book Fundamental Statistical Principles for the Neurobiologist written by Stephen W. Scheff and published by Academic Press. This book was released on 2016-02-11 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Analysis of Neural Data

Author : Robert E. Kass
Publisher : Springer
ISBN 13 : 1461496020
Total Pages : 663 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Analysis of Neural Data by : Robert E. Kass

Download or read book Analysis of Neural Data written by Robert E. Kass and published by Springer. This book was released on 2014-07-08 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.

Statistical Principles In Experimental Design

Author : B. J. Winer
Publisher :
ISBN 13 : 9781258260583
Total Pages : 682 pages
Book Rating : 4.2/5 (65 download)

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Book Synopsis Statistical Principles In Experimental Design by : B. J. Winer

Download or read book Statistical Principles In Experimental Design written by B. J. Winer and published by . This book was released on 2012-03-31 with total page 682 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Techniques for Neuroscientists

Author : Young K. Truong
Publisher : CRC Press
ISBN 13 : 1466566159
Total Pages : 446 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Statistical Techniques for Neuroscientists by : Young K. Truong

Download or read book Statistical Techniques for Neuroscientists written by Young K. Truong and published by CRC Press. This book was released on 2016-10-04 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

Machine Learning and Principles and Practice of Knowledge Discovery in Databases

Author : Michael Kamp
Publisher : Springer Nature
ISBN 13 : 303093733X
Total Pages : 601 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Machine Learning and Principles and Practice of Knowledge Discovery in Databases by : Michael Kamp

Download or read book Machine Learning and Principles and Practice of Knowledge Discovery in Databases written by Michael Kamp and published by Springer Nature. This book was released on 2022-02-18 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the workshops which complemented the 21th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in September 2021. Due to the COVID-19 pandemic the conference and workshops were held online. The 104 papers were thoroughly reviewed and selected from 180 papers submited for the workshops. This two-volume set includes the proceedings of the following workshops:Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2021)Workshop on Parallel, Distributed and Federated Learning (PDFL 2021)Workshop on Graph Embedding and Mining (GEM 2021)Workshop on Machine Learning for Irregular Time-series (ML4ITS 2021)Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM 2021)Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2021)Workshop on Bias and Fairness in AI (BIAS 2021)Workshop on Workshop on Active Inference (IWAI 2021)Workshop on Machine Learning for Cybersecurity (MLCS 2021)Workshop on Machine Learning in Software Engineering (MLiSE 2021)Workshop on MIning Data for financial applications (MIDAS 2021)Sixth Workshop on Data Science for Social Good (SoGood 2021)Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2021)Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2021)

Basic Statistical Principles and Statistical Design of Experiments

Author : J. Stuart Hunter
Publisher :
ISBN 13 :
Total Pages : 54 pages
Book Rating : 4.:/5 (332 download)

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Book Synopsis Basic Statistical Principles and Statistical Design of Experiments by : J. Stuart Hunter

Download or read book Basic Statistical Principles and Statistical Design of Experiments written by J. Stuart Hunter and published by . This book was released on 197? with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Signal Processing and Machine Learning for Biomedical Big Data

Author : Ervin Sejdic
Publisher : CRC Press
ISBN 13 : 149877346X
Total Pages : 624 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Signal Processing and Machine Learning for Biomedical Big Data by : Ervin Sejdic

Download or read book Signal Processing and Machine Learning for Biomedical Big Data written by Ervin Sejdic and published by CRC Press. This book was released on 2018-07-04 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.

Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19

Author : Allam Hamdan
Publisher : Springer Nature
ISBN 13 : 3030939219
Total Pages : 701 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 by : Allam Hamdan

Download or read book Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 written by Allam Hamdan and published by Springer Nature. This book was released on 2022-02-17 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.

Post-Traumatic Stress Disorder and Complex Traumatic Stress Disorder in Children and Adolescents

Author : Marie Rose Moro
Publisher : Frontiers Media SA
ISBN 13 : 2889668304
Total Pages : 175 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Post-Traumatic Stress Disorder and Complex Traumatic Stress Disorder in Children and Adolescents by : Marie Rose Moro

Download or read book Post-Traumatic Stress Disorder and Complex Traumatic Stress Disorder in Children and Adolescents written by Marie Rose Moro and published by Frontiers Media SA. This book was released on 2021-06-01 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Data Computing, Communication and Security

Author : Pankaj Verma
Publisher : Springer Nature
ISBN 13 : 9811684030
Total Pages : 703 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advances in Data Computing, Communication and Security by : Pankaj Verma

Download or read book Advances in Data Computing, Communication and Security written by Pankaj Verma and published by Springer Nature. This book was released on 2022-03-28 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of high-quality peer reviewed contributions from the academicians, researchers, practitioners, and industry professionals, accepted in the International Conference on Advances in Data Computing, Communication and Security (I3CS2021) organized by the Department of Electronics and Communication Engineering in collaboration with the Department of Computer Engineering, National Institute of Technology, Kurukshetra, India during 08-10 Sep 2021. The fast pace of advancing technologies and growing expectations of the next-generation requires that the researchers must continuously reinvent themselves through new investigations and development of the new products. The theme of this conference is devised as "Embracing Innovations" for the next-generation data computing and secure communication system.

Statistical Principles of Research Design and Analysis

Author : R. O. Kuehl
Publisher : Duxbury Resource Center
ISBN 13 :
Total Pages : 712 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistical Principles of Research Design and Analysis by : R. O. Kuehl

Download or read book Statistical Principles of Research Design and Analysis written by R. O. Kuehl and published by Duxbury Resource Center. This book was released on 1994 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an overall research design strategy by emphasizing how research hypotheses relate to treatment design. The author provides as realistic a setting as possible for conducting an actual research project. Examples, often based on actual research studies, describe the research venue and establish a specific problem; then the corresponding research hypothesis is identified with a treatment design that addresses it. The examples provide practical pointers relating the treatment design to the experiment design.

Digital Communication and Learning

Author : Anna Wing Bo Tso
Publisher : Springer Nature
ISBN 13 : 9811683298
Total Pages : 399 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Digital Communication and Learning by : Anna Wing Bo Tso

Download or read book Digital Communication and Learning written by Anna Wing Bo Tso and published by Springer Nature. This book was released on 2022-04-12 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book collects papers with perspectives from scholars and practitioners in Asia, Australia, and Europe to reveal the pros and cons, chances and challenges, constraints, and potential risks that educators and learners are facing as the new paradigm for communication and learning takes place, with a view to shedding light on the global education climate in the midst of the pandemic. Since the onset of the global pandemic, education has been revolutionized in almost every aspect. The emergency precautionary measures which were once supposed to be temporary school arrangements only have now become the new normal, reshaping our understanding of learning environments, redefining the pedagogic standards in terms of teaching practices, learning designs, teacher–student interaction, feedback, and assessment. Online teaching, distanced learning, flipped classrooms, and self-paced e-learning have all played an increasingly vital role in shaping a new education culture in various education settings, affecting school management, teachers, students, and parents alike. While ICT in education, alongside new media, has provided ample benefits and convenience for educators and students, communication and virtual lessons conducted in the socially distanced classroom appear to have brought issues such as the digital divide, e-mental health, insufficient technical support, inefficient classroom management, reduced interaction between teachers and students, not to mention the growing concerns over privacy and security.

Research Design and Statistical Analysis

Author : Jerome L. Myers
Publisher : Routledge
ISBN 13 : 1135811636
Total Pages : 821 pages
Book Rating : 4.1/5 (358 download)

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Book Synopsis Research Design and Statistical Analysis by : Jerome L. Myers

Download or read book Research Design and Statistical Analysis written by Jerome L. Myers and published by Routledge. This book was released on 2013-01-11 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book’s goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations, emphasis is also placed on data exploration, effect size measures, confidence intervals, and using power analyses to determine sample size. "Real-world" data sets are used to illustrate data exploration, analysis, and interpretation. The book offers a rare blend of the underlying statistical assumptions, the consequences of their violations, and practical advice on dealing with them. Changes in the New Edition: Each section of the book concludes with a chapter that provides an integrated example of how to apply the concepts and procedures covered in the chapters of the section. In addition, the advantages and disadvantages of alternative designs are discussed. A new chapter (1) reviews the major steps in planning and executing a study, and the implications of those decisions for subsequent analyses and interpretations. A new chapter (13) compares experimental designs to reinforce the connection between design and analysis and to help readers achieve the most efficient research study. A new chapter (27) on common errors in data analysis and interpretation. Increased emphasis on power analyses to determine sample size using the G*Power 3 program. Many new data sets and problems. More examples of the use of SPSS (PASW) Version 17, although the analyses exemplified are readily carried out by any of the major statistical software packages. A companion website with the data used in the text and the exercises in SPSS and Excel formats; SPSS syntax files for performing analyses; extra material on logistic and multiple regression; technical notes that develop some of the formulas; and a solutions manual and the text figures and tables for instructors only. Part 1 reviews research planning, data exploration, and basic concepts in statistics including sampling, hypothesis testing, measures of effect size, estimators, and confidence intervals. Part 2 presents between-subject designs. The statistical models underlying the analysis of variance for these designs are emphasized, along with the role of expected mean squares in estimating effects of variables, the interpretation of nteractions, and procedures for testing contrasts and controlling error rates. Part 3 focuses on repeated-measures designs and considers the advantages and disadvantages of different mixed designs. Part 4 presents detailed coverage of correlation and bivariate and multiple regression with emphasis on interpretation and common errors, and discusses the usefulness and limitations of these procedures as tools for prediction and for developing theory. This is one of the few books with coverage sufficient for a 2-semester course sequence in experimental design and statistics as taught in psychology, education, and other behavioral, social, and health sciences. Incorporating the analyses of both experimental and observational data provides continuity of concepts and notation. Prerequisites include courses on basic research methods and statistics. The book is also an excellent resource for practicing researchers.

Advancement of Selective Laser Melting by Laser Beam Shaping

Author : Tim Marten Wischeropp
Publisher : Springer Nature
ISBN 13 : 3662645858
Total Pages : 200 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Advancement of Selective Laser Melting by Laser Beam Shaping by : Tim Marten Wischeropp

Download or read book Advancement of Selective Laser Melting by Laser Beam Shaping written by Tim Marten Wischeropp and published by Springer Nature. This book was released on 2021-11-30 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selective Laser Melting (SLM), also referred to as Laser Powder Bed Fusion (L-PBF), offers significant advantages for the manufacturing of complex, high-quality parts. However, its market share is still small compared to conventional manufacturing technologies. Major drawbacks hindering an industrial ramp-up are low productivity, high part costs and issues with quality and reproducibility. Comprehensive research has been done to overcome these challenges, but little attention has been paid to addressing them by optimizing the laser beam profile. Therefore, the author examines the effect of the laser beam profile on the productivity and process stability through both numerical and experimental investigations. The results show clear advantages an optimized laser beam profile offers.

Fundamental Statistics for Psychology

Author : Robert B. McCall
Publisher :
ISBN 13 : 9780155294141
Total Pages : 196 pages
Book Rating : 4.2/5 (941 download)

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Book Synopsis Fundamental Statistics for Psychology by : Robert B. McCall

Download or read book Fundamental Statistics for Psychology written by Robert B. McCall and published by . This book was released on 1975 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Data Analysis in Neuroscience

Author : Daniel Durstewitz
Publisher : Springer
ISBN 13 : 3319599763
Total Pages : 308 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Advanced Data Analysis in Neuroscience by : Daniel Durstewitz

Download or read book Advanced Data Analysis in Neuroscience written by Daniel Durstewitz and published by Springer. This book was released on 2017-09-15 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all areas of applied statistics, from basic statistical estimation and test theory, linear and nonlinear approaches for regression and classification, to model selection and methods for dimensionality reduction, density estimation and unsupervised clustering. Its focus, however, is linear and nonlinear time series analysis from a dynamical systems perspective, based on which it aims to convey an understanding also of the dynamical mechanisms that could have generated observed time series. Further, it integrates computational modeling of behavioral and neural dynamics with statistical estimation and hypothesis testing. This way computational models in neuroscience are not only explanatory frameworks, but become powerful, quantitative data-analytical tools in themselves that enable researchers to look beyond the data surface and unravel underlying mechanisms. Interactive examples of most methods are provided through a package of MatLab routines, encouraging a playful approach to the subject, and providing readers with a better feel for the practical aspects of the methods covered. "Computational neuroscience is essential for integrating and providing a basis for understanding the myriads of remarkable laboratory data on nervous system functions. Daniel Durstewitz has excellently covered the breadth of computational neuroscience from statistical interpretations of data to biophysically based modeling of the neurobiological sources of those data. His presentation is clear, pedagogically sound, and readily useable by experts and beginners alike. It is a pleasure to recommend this very well crafted discussion to experimental neuroscientists as well as mathematically well versed Physicists. The book acts as a window to the issues, to the questions, and to the tools for finding the answers to interesting inquiries about brains and how they function." Henry D. I. Abarbanel Physics and Scripps Institution of Oceanography, University of California, San Diego “This book delivers a clear and thorough introduction to sophisticated analysis approaches useful in computational neuroscience. The models described and the examples provided will help readers develop critical intuitions into what the methods reveal about data. The overall approach of the book reflects the extensive experience Prof. Durstewitz has developed as a leading practitioner of computational neuroscience. “ Bruno B. Averbeck

MEDINFO 2019: Health and Wellbeing e-Networks for All

Author : L. Ohno-Machado
Publisher : IOS Press
ISBN 13 : 164368003X
Total Pages : 2078 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis MEDINFO 2019: Health and Wellbeing e-Networks for All by : L. Ohno-Machado

Download or read book MEDINFO 2019: Health and Wellbeing e-Networks for All written by L. Ohno-Machado and published by IOS Press. This book was released on 2019-11-12 with total page 2078 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining and integrating cross-institutional data remains a challenge for both researchers and those involved in patient care. Patient-generated data can contribute precious information to healthcare professionals by enabling monitoring under normal life conditions and also helping patients play a more active role in their own care. This book presents the proceedings of MEDINFO 2019, the 17th World Congress on Medical and Health Informatics, held in Lyon, France, from 25 to 30 August 2019. The theme of this year’s conference was ‘Health and Wellbeing: E-Networks for All’, stressing the increasing importance of networks in healthcare on the one hand, and the patient-centered perspective on the other. Over 1100 manuscripts were submitted to the conference and, after a thorough review process by at least three reviewers and assessment by a scientific program committee member, 285 papers and 296 posters were accepted, together with 47 podium abstracts, 7 demonstrations, 45 panels, 21 workshops and 9 tutorials. All accepted paper and poster contributions are included in these proceedings. The papers are grouped under four thematic tracks: interpreting health and biomedical data, supporting care delivery, enabling precision medicine and public health, and the human element in medical informatics. The posters are divided into the same four groups. The book presents an overview of state-of-the-art informatics projects from multiple regions of the world; it will be of interest to anyone working in the field of medical informatics.