Open Source Software For Neurodata Curation And Analysis
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Open Source Software For Neurodata Curation And Analysis
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Author : William T. Katz
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-06
Open Source Software For Neurodata Curation And Analysis written by William T. Katz and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-06 with Science categories.
The Neuron Book
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Author : Nicholas T. Carnevale
language : en
Publisher: Cambridge University Press
Release Date : 2006-01-12
The Neuron Book written by Nicholas T. Carnevale and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-12 with Medical categories.
The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
Analyzing Neural Time Series Data
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Author : Mike X Cohen
language : en
Publisher: MIT Press
Release Date : 2014-01-17
Analyzing Neural Time Series Data written by Mike X Cohen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-17 with Psychology categories.
A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the conceptual, mathematical, and implementational (via Matlab programming) aspects of time-, time-frequency- and synchronization-based analyses of magnetoencephalography (MEG), electroencephalography (EEG), and local field potential (LFP) recordings from humans and nonhuman animals. It is the only book on the topic that covers both the theoretical background and the implementation in language that can be understood by readers without extensive formal training in mathematics, including cognitive scientists, neuroscientists, and psychologists. Readers who go through the book chapter by chapter and implement the examples in Matlab will develop an understanding of why and how analyses are performed, how to interpret results, what the methodological issues are, and how to perform single-subject-level and group-level analyses. Researchers who are familiar with using automated programs to perform advanced analyses will learn what happens when they click the “analyze now” button. The book provides sample data and downloadable Matlab code. Each of the 38 chapters covers one analysis topic, and these topics progress from simple to advanced. Most chapters conclude with exercises that further develop the material covered in the chapter. Many of the methods presented (including convolution, the Fourier transform, and Euler's formula) are fundamental and form the groundwork for other advanced data analysis methods. Readers who master the methods in the book will be well prepared to learn other approaches.
Clinical Neurotechnology Meets Artificial Intelligence
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Author : Orsolya Friedrich
language : en
Publisher: Springer Nature
Release Date : 2021-03-03
Clinical Neurotechnology Meets Artificial Intelligence written by Orsolya Friedrich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-03 with Medical categories.
Neurotechnologies such as brain-computer interfaces (BCIs), which allow technical devices to be used with the power of thought or concentration alone, are no longer a futuristic dream or, depending on the viewpoint, a nightmare. Moreover, the combination of neurotechnologies and AI raises a host of pressing problems. Now that these technologies are about to leave the laboratory and enter the real world, these problems and implications can and should be scrutinized. This volume brings together scholars from a wide range of academic disciplines such as philosophy, law, the social sciences and neurosciences, and is unique in terms of both its focus and its methods. The latter vary considerably, and range from philosophical analysis and phenomenologically inspired descriptions to legal analysis and socio-empirical research. This diversified approach allows the book to explore the entire spectrum of philosophical, normative, legal and empirical dimensions of intelligent neurotechnologies. Philosophical and legal analyses of normative problems are complemented by a thorough empirical assessment of how BCIs and other forms of neurotechnology are being implemented, and what their measurable implications are. To take a closer look at specific neurotechnologies, a number of applications are addressed. Case studies, previously unidentified issues, and normative insights on these cases complement the rich portrait this volume provides. Clinicians, philosophers, lawyers, social scientists and engineers will greatly benefit from the collection of articles compiled in this book, which will likely become a standard reference work on the philosophy of intelligent neurotechnologies.
Cellular Electron Microscopy
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Author : J. Richard McIntosh
language : en
Publisher: Elsevier
Release Date : 2011-09-02
Cellular Electron Microscopy written by J. Richard McIntosh and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-02 with Science categories.
Recent advances in the imaging technique electron microscopy (EM) have improved the method, making it more reliable and rewarding, particularly in its description of three-dimensional detail. Cellular Electron Microscopy will help biologists from many disciplines understand modern EM and the value it might bring to their own work. The book's five sections deal with all major issues in EM of cells: specimen preparation, imaging in 3-D, imaging and understanding frozen-hydrated samples, labeling macromolecules, and analyzing EM data. Each chapter was written by scientists who are among the best in their field, and some chapters provide multiple points of view on the issues they discuss. Each section of the book is preceded by an introduction, which should help newcomers understand the subject. The book shows why many biologists believe that modern EM will forge the link between light microscopy of live cells and atomic resolution studies of isolated macromolecules, helping us toward the goal of an atomic resolution understanding of living systems. - Updates the numerous technological innovations that have improved the capabilities of electron microscopy - Provides timely coverage of the subject given the significant rise in the number of biologists using light microscopy to answer their questions and the natural limitations of this kind of imaging - Chapters include a balance of "how to", "so what" and "where next", providing the reader with both practical information, which is necessary to use these methods, and a sense of where the field is going
Theoretical Neuroscience
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Author : Peter Dayan
language : en
Publisher: MIT Press
Release Date : 2005-08-12
Theoretical Neuroscience written by Peter Dayan and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-12 with Medical categories.
Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory. The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.
Designing Eeg Experiments For Studying The Brain
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Author : Aamir Saeed Malik
language : en
Publisher: Academic Press
Release Date : 2017-05-25
Designing Eeg Experiments For Studying The Brain written by Aamir Saeed Malik and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Psychology categories.
Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one's experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis. - Written to assist neuroscientists in experiment designs using EEG - Presents a step-by-step approach to designing both clinical and behavioral EEG experiments - Includes experiment design codes and example datasets - Provides inclusion and exclusion criteria to help correctly identify experiment subjects and the minimum number of samples - Includes appendices that provide recruitment forms, ethics forms, and various subjective tests associated with each of the chapters
Seamless R And C Integration With Rcpp
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Author : Dirk Eddelbuettel
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-04
Seamless R And C Integration With Rcpp written by Dirk Eddelbuettel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-04 with Computers categories.
Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management "Seamless R and C++ integration with Rcpp" is simply a wonderful book. For anyone who uses C/C++ and R, it is an indispensable resource. The writing is outstanding. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside which enables you to use R inside C++. These applications are what most of us need to know to really do scientific programming with R and C++. I love this book. -- Robert McCulloch, University of Chicago Booth School of Business Rcpp is now considered an essential package for anybody doing serious computational research using R. Dirk's book is an excellent companion and takes the reader from a gentle introduction to more advanced applications via numerous examples and efficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen .etc.), modules, package development and sugar. Overall, this book is a must-have on your shelf. -- Sanjog Misra, UCLA Anderson School of Management The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C++ code, one has R's data structures readily at hand for further computations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these developments, and his book takes the reader from the first fragile steps on to using the full Rcpp machinery. A very recommended book! -- Søren Højsgaard, Department of Mathematical Sciences, Aalborg University, Denmark "Seamless R and C ++ Integration with Rcpp" provides the first comprehensive introduction to Rcpp. Rcpp has become the most widely-used language extension for R, and is deployed by over one-hundred different CRAN and BioConductor packages. Rcpp permits users to pass scalars, vectors, matrices, list or entire R objects back and forth between R and C++ with ease. This brings the depth of the R analysis framework together with the power, speed, and efficiency of C++. Dirk Eddelbuettel has been a contributor to CRAN for over a decade and maintains around twenty packages. He is the Debian/Ubuntu maintainer for R and other quantitative software, edits the CRAN Task Views for Finance and High-Performance Computing, is a co-founder of the annual R/Finance conference, and an editor of the Journal of Statistical Software. He holds a Ph.D. in Mathematical Economics from EHESS (Paris), and works in Chicago as a Senior Quantitative Analyst.
Continuous Integration
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Author : Paul M. Duvall
language : en
Publisher: Pearson Education
Release Date : 2007-06-29
Continuous Integration written by Paul M. Duvall and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-29 with Computers categories.
For any software developer who has spent days in “integration hell,” cobbling together myriad software components, Continuous Integration: Improving Software Quality and Reducing Risk illustrates how to transform integration from a necessary evil into an everyday part of the development process. The key, as the authors show, is to integrate regularly and often using continuous integration (CI) practices and techniques. The authors first examine the concept of CI and its practices from the ground up and then move on to explore other effective processes performed by CI systems, such as database integration, testing, inspection, deployment, and feedback. Through more than forty CI-related practices using application examples in different languages, readers learn that CI leads to more rapid software development, produces deployable software at every step in the development lifecycle, and reduces the time between defect introduction and detection, saving time and lowering costs. With successful implementation of CI, developers reduce risks and repetitive manual processes, and teams receive better project visibility. The book covers How to make integration a “non-event” on your software development projects How to reduce the amount of repetitive processes you perform when building your software Practices and techniques for using CI effectively with your teams Reducing the risks of late defect discovery, low-quality software, lack of visibility, and lack of deployable software Assessments of different CI servers and related tools on the market The book’s companion Web site, www.integratebutton.com, provides updates and code examples.
Computational Psychiatry
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Author : A. David Redish
language : en
Publisher: MIT Press
Release Date : 2016-12-09
Computational Psychiatry written by A. David Redish and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-09 with Science categories.
Psychiatrists and neuroscientists discuss the potential of computational approaches to address problems in psychiatry including diagnosis, treatment, and integration with neurobiology. Modern psychiatry is at a crossroads, as it attempts to balance neurological analysis with psychological assessment. Computational neuroscience offers a new lens through which to view such thorny issues as diagnosis, treatment, and integration with neurobiology. In this volume, psychiatrists and theoretical and computational neuroscientists consider the potential of computational approaches to psychiatric issues. This unique collaboration yields surprising results, innovative synergies, and novel open questions. The contributors consider mechanisms of psychiatric disorders, the use of computation and imaging to model psychiatric disorders, ways that computation can inform psychiatric nosology, and specific applications of the computational approach. Contributors Susanne E. Ahmari, Huda Akil, Deanna M. Barch, Matthew Botvinick, Michael Breakspear, Cameron S. Carter, Matthew V. Chafee, Sophie Denève, Daniel Durstewitz, Michael B. First, Shelly B. Flagel, Michael J. Frank, Karl J. Friston, Joshua A. Gordon, Katia M. Harlé, Crane Huang, Quentin J. M. Huys, Peter W. Kalivas, John H. Krystal, Zeb Kurth-Nelson, Angus W. MacDonald III, Tiago V. Maia, Robert C. Malenka, Sanjay J. Mathew, Christoph Mathys, P. Read Montague, Rosalyn Moran, Theoden I. Netoff, Yael Niv, John P. O'Doherty, Wolfgang M. Pauli, Martin P. Paulus, Frederike Petzschner, Daniel S. Pine, A. David Redish, Kerry Ressler, Katharina Schmack, Jordan W. Smoller, Klaas Enno Stephan, Anita Thapar, Heike Tost, Nelson Totah, Jennifer L. Zick