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Author: Tzyy-Ping Jung
Publisher: Frontiers Media SA
Published: 2022-01-19
Total Pages: 211
ISBN-13: 2889740870
DOWNLOAD EBOOKDownload or read book Inter- and Intra-subject Variability in Brain Imaging and Decoding written by Tzyy-Ping Jung and published by Frontiers Media SA. This book was released on 2022-01-19 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Georg Langs
Publisher: Springer
Published: 2012-11-11
Total Pages: 266
ISBN-13: 3642347134
DOWNLOAD EBOOKBrain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.
Download or read book Machine Learning and Interpretation in Neuroimaging written by Georg Langs and published by Springer. This book was released on 2012-11-11 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain imaging brings together the technology, methodology, research questions and approaches of a wide range of scientific fields including physics, statistics, computer science, neuroscience, biology, and engineering. Thus, methodological and technological advances that enable us to obtain measurements, examine relationships across observations, and link these data to neuroscientific hypotheses happen in a highly interdisciplinary environment. The dynamic field of machine learning with its modern approach to data mining provides many relevant approaches for neuroscience and enables the exploration of open questions. This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011. Additionally, invited speakers agreed to contribute reviews on various aspects of the field, adding breadth and perspective to the volume. The 32 revised papers were carefully selected from 48 submissions. At the interface between machine learning and neuroimaging the papers aim at shedding some light on the state of the art in this interdisciplinary field. They are organized in topical sections on coding and decoding, neuroscience, dynamcis, connectivity, and probabilistic models and machine learning.
Author: Dewen Hu
Publisher: Springer Nature
Published: 2019-11-12
Total Pages: 258
ISBN-13: 9813295236
DOWNLOAD EBOOKThis 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.
Download or read book Pattern Analysis of the Human Connectome written by Dewen Hu and published by Springer Nature. This book was released on 2019-11-12 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author: Kaijian Xia
Publisher: Frontiers Media SA
Published: 2022-11-09
Total Pages: 754
ISBN-13: 2832504620
DOWNLOAD EBOOKDownload or read book Advanced Computational Intelligence Methods for Processing Brain Imaging Data written by Kaijian Xia and published by Frontiers Media SA. This book was released on 2022-11-09 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Nikos Paragios
Publisher: Springer
Published: 2015-03-24
Total Pages: 501
ISBN-13: 038709749X
DOWNLOAD EBOOKThis book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses. It is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors.
Download or read book Handbook of Biomedical Imaging written by Nikos Paragios and published by Springer. This book was released on 2015-03-24 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a unique guide to the entire chain of biomedical imaging, explaining how image formation is done, and how the most appropriate algorithms are used to address demands and diagnoses. It is an exceptional tool for radiologists, research scientists, senior undergraduate and graduate students in health sciences and engineering, and university professors.
Author: Fei Wang
Publisher: Springer
Published: 2012-11-13
Total Pages: 287
ISBN-13: 3642354289
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.
Download or read book Machine Learning in Medical Imaging written by Fei Wang and published by Springer. This book was released on 2012-11-13 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.
Author: Paul Sajda
Publisher: Frontiers Media SA
Published: 2012
Total Pages: 130
ISBN-13: 2889190234
DOWNLOAD EBOOKThe cognitive psychology of perception and decision-making is at a cross-road. Most studies still employ categorical designs, a priori classified stimuli and perform statistical evaluations across subjects. However, a shift has been observed in recent years towards parametric designs in which the information content of stimuli is systematically manipulated to study the single-trial dynamics of behaviour (reaction times, eye movements) and brain activity (EEG, MEG, fMRI). By using the information contained in the variance of individual trials, the single-trial approach goes beyond the activity of the average brain: it reveals the specificity of information processing in individual subjects, across tasks and stimulus space, revealing both inter-individual commonalties and differences. This Research Topic provides theoretical and empirical support for the study of single-trial data. Topics of particular interest include: 1. description of the richness of information in single-trials and how it can be successfully extracted; 2. statistical issues related to measures of central tendency, control for multiple comparisons, multivariate approaches, hierarchical modelling and characterization of individual differences; 3. how manipulation of the stimulus space can allow for a direct mapping of stimulus properties onto brain activity to infer dynamics of information processing and information content of brain states; 4. how results from different brain imaging techniques can be integrated at the single-trial level.
Download or read book Single-Trial Analyses of Behavioural and Neuroimaging Data in Perception and Decision-Making written by Paul Sajda and published by Frontiers Media SA. This book was released on 2012 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cognitive psychology of perception and decision-making is at a cross-road. Most studies still employ categorical designs, a priori classified stimuli and perform statistical evaluations across subjects. However, a shift has been observed in recent years towards parametric designs in which the information content of stimuli is systematically manipulated to study the single-trial dynamics of behaviour (reaction times, eye movements) and brain activity (EEG, MEG, fMRI). By using the information contained in the variance of individual trials, the single-trial approach goes beyond the activity of the average brain: it reveals the specificity of information processing in individual subjects, across tasks and stimulus space, revealing both inter-individual commonalties and differences. This Research Topic provides theoretical and empirical support for the study of single-trial data. Topics of particular interest include: 1. description of the richness of information in single-trials and how it can be successfully extracted; 2. statistical issues related to measures of central tendency, control for multiple comparisons, multivariate approaches, hierarchical modelling and characterization of individual differences; 3. how manipulation of the stimulus space can allow for a direct mapping of stimulus properties onto brain activity to infer dynamics of information processing and information content of brain states; 4. how results from different brain imaging techniques can be integrated at the single-trial level.
Author: Ian Daly
Publisher: Frontiers Media SA
Published: 2021-11-25
Total Pages: 198
ISBN-13: 2889716945
DOWNLOAD EBOOKDownload or read book Datasets for Brain-Computer Interface Applications written by Ian Daly and published by Frontiers Media SA. This book was released on 2021-11-25 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author: Michelle Hampson
Publisher: Academic Press
Published: 2021-10-09
Total Pages: 366
ISBN-13: 0128224363
DOWNLOAD EBOOKfMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods used for fMRI neurofeedback, a review of published neuroscientific and clinical applications, and a discussion of relevant ethical considerations. It gives a view of the ongoing research challenges throughout and provides guidance for researchers new to the field on the practical implementation and design of fMRI neurofeedback protocols. This book is designed to be accessible to all scientists and clinicians interested in conducting fMRI neurofeedback research, addressing the variety of different knowledge gaps that readers may have given their varied backgrounds and avoiding field-specific jargon. The book, therefore, will be suitable for engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback. Provides a reference on fMRI neurofeedback covering history, methods, mechanisms, clinical applications, and basic research, as well as ethical considerations Offers contributions from international experts—leading research groups are represented, including from Europe, Japan, Israel, and the United States Includes coverage of data analytic methods, study design, neuroscience mechanisms, and clinical considerations Presents a perspective on future translational development
Download or read book fMRI Neurofeedback written by Michelle Hampson and published by Academic Press. This book was released on 2021-10-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: fMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods used for fMRI neurofeedback, a review of published neuroscientific and clinical applications, and a discussion of relevant ethical considerations. It gives a view of the ongoing research challenges throughout and provides guidance for researchers new to the field on the practical implementation and design of fMRI neurofeedback protocols. This book is designed to be accessible to all scientists and clinicians interested in conducting fMRI neurofeedback research, addressing the variety of different knowledge gaps that readers may have given their varied backgrounds and avoiding field-specific jargon. The book, therefore, will be suitable for engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback. Provides a reference on fMRI neurofeedback covering history, methods, mechanisms, clinical applications, and basic research, as well as ethical considerations Offers contributions from international experts—leading research groups are represented, including from Europe, Japan, Israel, and the United States Includes coverage of data analytic methods, study design, neuroscience mechanisms, and clinical considerations Presents a perspective on future translational development
Author: William R. Uttal
Publisher: Psychology Press
Published: 2015-07-24
Total Pages: 214
ISBN-13: 1317392736
DOWNLOAD EBOOKIn this book, William R. Uttal continues his analysis and critique of theories of mind. This book considers theories that are based on macroneural responses (such as those obtained from fMRI) that represent the averaged or cumulative responses of many neurons. The analysis is carried out with special emphasis on the logical and conceptual difficulties in developing a theory but with special attention to some of the current attempts to go from these cumulative responses to explanations of the grand question of how the mind is generated by the brain. While acknowledging the importance of these macroneural techniques in the study of the anatomy and physiology of the brain, Uttal concludes that this macroneural approach is not likely to produce a valid neural theory of cognition because the critical information—the states of the individual neurons—involved in brain activity becoming mental activity is actually lost in the process of summation. Controversial topics are considered in detail including discussions of empirical, logical, and technological barriers to theory building in cognitive neuroscience.
Download or read book Macroneural Theories in Cognitive Neuroscience written by William R. Uttal and published by Psychology Press. This book was released on 2015-07-24 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, William R. Uttal continues his analysis and critique of theories of mind. This book considers theories that are based on macroneural responses (such as those obtained from fMRI) that represent the averaged or cumulative responses of many neurons. The analysis is carried out with special emphasis on the logical and conceptual difficulties in developing a theory but with special attention to some of the current attempts to go from these cumulative responses to explanations of the grand question of how the mind is generated by the brain. While acknowledging the importance of these macroneural techniques in the study of the anatomy and physiology of the brain, Uttal concludes that this macroneural approach is not likely to produce a valid neural theory of cognition because the critical information—the states of the individual neurons—involved in brain activity becoming mental activity is actually lost in the process of summation. Controversial topics are considered in detail including discussions of empirical, logical, and technological barriers to theory building in cognitive neuroscience.
