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Author: Klaus Gramann Publisher: Frontiers E-books ISBN: 2889192717 Category : Neurosciences. Biological psychiatry. Neuropsychiatry Languages : en Pages : 167
Book Description
Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants’ movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions.
Author: Klaus Gramann Publisher: Frontiers E-books ISBN: 2889192717 Category : Neurosciences. Biological psychiatry. Neuropsychiatry Languages : en Pages : 167
Book Description
Decades of brain imaging experiments have revealed important insights into the architecture of the human brain and the detailed anatomic basis for the neural dynamics supporting human cognition. However, technical restrictions of traditional brain imaging approaches including functional magnetic resonance tomography (fMRI), positron emission tomography (PET), and magnetoencephalography (MEG) severely limit participants’ movements during experiments. As a consequence, our knowledge of the neural basis of human cognition is rooted in a dissociation of human cognition from what is arguably its foremost, and certainly its evolutionarily most determinant function, organizing our behavior so as to optimize its consequences in our complex, multi-scale, and ever-changing environment. The concept of natural cognition, therefore, should not be separated from our fundamental experience and role as embodied agents acting in a complex, partly unpredictable world. To gain new insights into the brain dynamics supporting natural cognition, we must overcome restrictions of traditional brain imaging technology. First, the sensors used must be lightweight and mobile to allow monitoring of brain activity during free participant movements. New hardware technology for electroencephalography (EEG) and near infrared spectroscopy (NIRS) allows recording electrical and hemodynamic brain activity while participants are freely moving. New data-driven analysis approaches must allow separation of signals arriving at the sensors from the brain and from non-brain sources (neck muscles, eyes, heart, the electrical environment, etc.). Independent component analysis (ICA) and related blind source separation methods allow separation of brain activity from non-brain activity from data recorded during experimental paradigms that stimulate natural cognition. Imaging the precisely timed, distributed brain dynamics that support all forms of our motivated actions and interactions in both laboratory and real-world settings requires new modes of data capture and of data processing. Synchronously recording participants’ motor behavior, brain activity, and other physiology, as well as their physical environment and external events may be termed mobile brain/body imaging ('MoBI'). Joint multi-stream analysis of recorded MoBI data is a major conceptual, mathematical, and data processing challenge. This Research Topic is one result of the first international MoBI meeting in Delmenhorst Germany in September 2013. During an intense workshop researchers from all over the world presented their projects and discussed new technological developments and challenges of this new imaging approach. Several of the presentations are compiled in this Research Topic that we hope may inspire new research using the MoBI paradigm to investigate natural cognition by recording and analyzing the brain dynamics and behavior of participants performing a wide range of naturally motivated actions and interactions.
Author: Alan Anticevic Publisher: Academic Press ISBN: 0128098260 Category : Medical Languages : en Pages : 334
Book Description
Computational Psychiatry: Mathematical Modeling of Mental Illness is the first systematic effort to bring together leading scholars in the fields of psychiatry and computational neuroscience who have conducted the most impactful research and scholarship in this area. It includes an introduction outlining the challenges and opportunities facing the field of psychiatry that is followed by a detailed treatment of computational methods used in the service of understanding neuropsychiatric symptoms, improving diagnosis and guiding treatments. This book provides a vital resource for the clinical neuroscience community with an in-depth treatment of various computational neuroscience approaches geared towards understanding psychiatric phenomena. Its most valuable feature is a comprehensive survey of work from leaders in this field. - Offers an in-depth overview of the rapidly evolving field of computational psychiatry - Written for academics, researchers, advanced students and clinicians in the fields of computational neuroscience, clinical neuroscience, psychiatry, clinical psychology, neurology and cognitive neuroscience - Provides a comprehensive survey of work from leaders in this field and a presentation of a range of computational psychiatry methods and approaches geared towards a broad array of psychiatric problems
Author: Mikhail I. Rabinovich Publisher: MIT Press ISBN: 0262549905 Category : Medical Languages : en Pages : 371
Book Description
Experimental and theoretical approaches to global brain dynamics that draw on the latest research in the field. The consideration of time or dynamics is fundamental for all aspects of mental activity—perception, cognition, and emotion—because the main feature of brain activity is the continuous change of the underlying brain states even in a constant environment. The application of nonlinear dynamics to the study of brain activity began to flourish in the 1990s when combined with empirical observations from modern morphological and physiological observations. This book offers perspectives on brain dynamics that draw on the latest advances in research in the field. It includes contributions from both theoreticians and experimentalists, offering an eclectic treatment of fundamental issues. Topics addressed range from experimental and computational approaches to transient brain dynamics to the free-energy principle as a global brain theory. The book concludes with a short but rigorous guide to modern nonlinear dynamics and their application to neural dynamics.
Author: Sergio F. Ochoa Publisher: Springer ISBN: 3319675850 Category : Computers Languages : en Pages : 874
Book Description
This book constitutes the refereed conference proceedings of the 11th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2017, held in Philadelphia, PA, USA in November 2017. The 60 revised full papers and 22 short papers presented were carefully reviewed and selected from 100 submissions. The papers are presented in six tracks and two special sessions. These are Ambient Assisted Living, Human-Computer Interaction, Ambient Intelligence for Health, Internet of Things and Smart Cities, Ad-hoc and Sensor Networks, Sustainability, Socio-Cognitive and Affective Computing, AmI-Systems and Machine Learning.
Author: Tristan D. Griffith Publisher: Springer Nature ISBN: 3031235290 Category : Technology & Engineering Languages : en Pages : 142
Book Description
This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics. The nonlinear, nonstationary behavior of brain wave measures and general uncertainty associated with the brain makes it difficult to apply modern system identification techniques to such systems. While there is a substantial amount of literature on the use of stationary analyses for brain waves, relatively less work has considered real-time estimation and imaging of brain waves from noninvasive measurements. This book addresses the issue of modeling and imaging brain waves and biomarkers generally, treating the nonlinear and nonstationary dynamics in near real-time. Using a modal state-space formulation leads to intuitive, physically significant models which are used for analysis and diagnosis. A Modal Approach to the Space-Time Dynamics of Cognitive Biomarkers provides a much-needed reference for practicing researchers in biomarker modeling leveraging the lens of engineering dynamics.
Author: Judith Lynne Hanna Publisher: Rowman & Littlefield ISBN: 147580606X Category : Education Languages : en Pages : 231
Book Description
Dancing to Learn: Cognition, Emotion, and Movement explores the rationale for dance as a medium of learning to help engage educators and scientists to explore the underpinnings of dance, and dancers as well as members of the general public who are curious about new ways of comprehending dance. Among policy-makers, teachers, and parents, there is a heightened concern for successful pedagogical strategies. They want to know what can work with learners. This book approaches the subject of learning in, about, and through dance by triangulating knowledge from the arts and humanities, social and behavioral sciences, and cognitive and neurological sciences to challenge dismissive views of the cognitive importance of the physical dance. Insights come from theories and research findings in aesthetics, anthropology, cognitive science, dance, education, feminist theory, linguistics, neuroscience, phenomenology, psychology, and sociology. Using a single theory puts blinders on to other ways of description and analysis. Of course, all knowledge is tentative. Experiments necessarily must focus on a narrow topic and often use a special demographic—university students, and we don’t know the representativeness of case studies.
Author: Christoph Börgers Publisher: Springer ISBN: 3319511718 Category : Mathematics Languages : en Pages : 445
Book Description
This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate students of mathematics, the natural sciences, engineering, or computer science. An undergraduate introduction to differential equations is more than enough mathematical background. Only a slim, high school-level background in physics is assumed, and none in biology. Topics include models of individual nerve cells and their dynamics, models of networks of neurons coupled by synapses and gap junctions, origins and functions of population rhythms in neuronal networks, and models of synaptic plasticity. An extensive online collection of Matlab programs generating the figures accompanies the book.
Author: Aina Puce Publisher: Springer ISBN: 3319213687 Category : Psychology Languages : en Pages : 250
Book Description
social neuroscience, social psychology, developmental, psychology, social cognition, vision research and clinical psychology. social neuroscience, social psychology, developmental, psychology, sThis comprehensive volume reviews current developments in our evolving knowledge of social attention and its processes. In doing so, it examines the brain-behavioral bases of social attention from diverse complementary fields, including disordered and healthy adult findings, infant and developmental studies and social neuroscience. The studies explored in this volume reflect the ongoing shift toward naturalistic, context-based experiments and integrative scientific approaches, and away from relying solely on standardized tasks in laboratory settings. In keeping with this proactive perspective, the authors pose critical questions throughout the book to point readers toward the potential next wave of research developments and interventions. Included in the coverage: The development of social attention in human infants. Neural bases for social attention in healthy humans. Social attention, social presence, and the dual function of gaze. Early departures from normative processes of social engagement in infants with Autism Spectrum Disorder. Aberrant social attention and its underlying neural correlates in adults with ASD. The future of social attention research. The Many Faces of Social Attention will interest researchers in social neuroscience, social psychology, developmental psychology, social cognition, visual attention and cognition, and clinical psychology, and inspire new advances in this increasingly important area of study. ocial cognition, vision research and clinical psychology.
Author: Klaus Gramann
Author: Klaus Gramann
Author: Alan Anticevic
Author: Mikhail I. Rabinovich
Author: Sergio F. Ochoa
Author: Sven Hoffmann
Author: Stanislas Dehaene
Author: Tristan D. Griffith
Author: Judith Lynne Hanna
Author: Christoph Börgers
Author: Aina Puce