Simulation Of Fronto Parietal Neural Population Activity To Probe Dimensionality Reduction Methods
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Cumulated Index Medicus
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Author :
language : en
Publisher:
Release Date : 2000
Cumulated Index Medicus written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Medicine categories.
Pattern Analysis Of The Human Connectome
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Author : Dewen Hu
language : en
Publisher: Springer Nature
Release Date : 2019-11-12
Pattern Analysis Of The Human Connectome written by Dewen Hu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Medical categories.
This book presents recent advances in pattern analysis of the human connectome. The human connectome, measured by magnetic resonance imaging at the macroscale, provides a comprehensive description of how brain regions are connected. Based on machine learning methods, multiviarate pattern analysis can directly decode psychological or cognitive states from brain connectivity patterns. Although there are a number of works with chapters on conventional human connectome encoding (brain-mapping), there are few resources on human connectome decoding (brain-reading). Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications, this book helps students and researchers gain an overall picture of pattern analysis of the human connectome. It also offers valuable insights for clinicians involved in the clinical diagnosis and treatment evaluation of neuropsychiatric disorders.
Manifolds And Geometry
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Author : P. de Bartolomeis
language : en
Publisher: Cambridge University Press
Release Date : 1996-06-13
Manifolds And Geometry written by P. de Bartolomeis 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 1996-06-13 with Mathematics categories.
This book brings together papers that cover a wide spectrum of areas and give an unsurpassed overview of research into differential geometry.
Analysis Of Neural Data
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Author : Robert E. Kass
language : en
Publisher: Springer
Release Date : 2014-07-08
Analysis Of Neural Data written by Robert E. Kass and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Medical categories.
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.
Gaussian Processes For Machine Learning
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Author : Carl Edward Rasmussen
language : en
Publisher: MIT Press
Release Date : 2005-11-23
Gaussian Processes For Machine Learning written by Carl Edward Rasmussen and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-23 with Computers categories.
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
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.
Methods For Neural Ensemble Recordings Second Edition
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Author : Miguel A. L. Nicolelis
language : en
Publisher: CRC Press
Release Date : 2007-12-03
Methods For Neural Ensemble Recordings Second Edition written by Miguel A. L. Nicolelis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-03 with Science categories.
In the last ten years neural ensemble recording grew into a well-respected and highly data-lucrative science. New experimental paradigms, including the fabrication of high-density microelectrodes, new surgical implantation techniques, multi-channel signal processing, and the establishment of direct real-time brain-machine interfaces, hold promise not just for neurophysiology research, but also for new-generation prosthetic devices aimed at restoring mobility and communication skills in severely disabled patients. Extensively updated and expanded, Methods for Neural Ensemble Recording, Second Edition distills the current state-of-the-science and provides the nuts and bolts foundation from which to advance the field for the next ten years. With contributions from pioneering researchers, this second edition begins with an overview of microwire array design for chronic neural recordings. Demonstrating the diversity now enjoyed in the field, the book reviews new surgical techniques for chronic implantation of microwire arrays in not just rodents, but primates as well. It explores microelectrode microstimulation of brain tissue, discusses multielectrode recordings in the somatosensory system and during learning, and analyzes neural ensemble recordings from the central gustatory-reward pathways in awake and behaving animals. An exploration of new strategies for neural ensemble data analysis for Brain-Machine Interface (BMI) applications foreshadows an investigation into employing BMI to restore neurological function. Using multielectrode field potential recordings, contributions define global brain states and propose conceptual and technical approaches to human neural ensemble recordings in the future.
Modern Multidimensional Scaling
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Author : Ingwer Borg
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-18
Modern Multidimensional Scaling written by Ingwer Borg 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 2013-04-18 with Mathematics categories.
Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of geometry into which one wants to map the data, the mapping function, the algorithms used to find an optimal data representation, the treatment of statistical error in the models, or the possibility to represent not just one but several similarity matrices at the same time. Other facets relate to the different purposes for which MDS has been used, to various ways of looking at or "interpreting" an MDS representation, or to differences in the data required for the particular models. In this book, we give a fairly comprehensive presentation of MDS. For the reader with applied interests only, the first six chapters of Part I should be sufficient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.
Society For Neuroscience Abstracts
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Author : Society for Neuroscience. Meeting
language : en
Publisher:
Release Date : 1997
Society For Neuroscience Abstracts written by Society for Neuroscience. Meeting and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Neurobiology categories.
Neural Control Of Movement
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Author : W.R. Ferrell
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Control Of Movement written by W.R. Ferrell 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 2012-12-06 with Science categories.
Presented with a choice of evils, most would prefer to be blinded rather than to be unable to move, immobilized in the late stages of Parkinson's disease. Yet in everyday life, as in Neuroscience, vision holds the centre of the stage. The conscious psyche watches a private TV show all day long, while the motor system is left to get on with it "out of sight and out of mind. " Motor skills are worshipped at all levels of society, whether in golf, tennis, soccer, athletics or in musical performance; meanwhile the subconscious machinery is ignored. But scientifically there is steady advance on a wide front, as we are reminded here, from the reversal of the reflexes of the stick insects to the site of motor learning in the human cerebral cortex. As in the rest of Physiology, evolution has preserved that which has already worked well; thus general principles can often be best discerned in lower animals. No one scientist can be personally involved at all levels of analysis, but especially for the motor system a narrow view is doomed from the outset. Interaction is all; the spinal cord has surrendered its autonomy to the brain, but the brain can only control the limbs by talking to the spinal cord in a language that it can understand, determined by its pre-existing circuitry; and both receive a continuous stream of feedback from the periphery.