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Phrenology was the most popular mental science of the Victorian age. From American senators to Indian social reformers, this new mental science found supporters stretching around the globe. Materials of the Mind tells the story of how phrenology changed the world--and how the world changed phrenology. This is a story of skulls from the Arctic, plaster casts from Haiti, books from Bengal, and letters from the Pacific. Drawing on far-flung museum and archival collections, and addressing sources in six different languages, Materials of the Mind is the first substantial account of science in the nineteenth century as part of global history. It shows how the circulation of material culture underpinned the emergence of a new materialist philosophy of the mind, while also demonstrating how a global approach to history could help us reassess issues such as race, technology, and politics today.
Phrenology --- Brain --- Characters and characteristics --- Craniology --- Head --- Psychology --- Mind and body --- Pathognomy --- Physiognomy --- History --- Localization of functions
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Pediatric neurology. --- Brain stimulation. --- Neurotechnology (Bioengineering) --- Neurosciences. --- Child Psychiatry. --- Bioengineering --- Neurosciences --- Intracranial stimulation --- Stimulation of the brain --- Brain --- Neural stimulation --- Nervous system --- Neurology --- Localization of functions --- Diseases --- Psychiatry, Child --- Neuroscience
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Brain mapping. --- Magnetic resonance imaging. --- Connectome mapping --- Mapping of the brain --- Topographic brain mapping --- Brain --- Clinical magnetic resonance imaging --- Diagnostic magnetic resonance imaging --- Functional magnetic resonance imaging --- Imaging, Magnetic resonance --- Medical magnetic resonance imaging --- MR imaging --- MRI (Magnetic resonance imaging) --- NMR imaging --- Nuclear magnetic resonance --- Nuclear magnetic resonance imaging --- Cross-sectional imaging --- Diagnostic imaging --- Localization of functions --- Diagnostic use
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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.
Neurosciences. --- Biomathematics. --- Biomedical engineering. --- Mathematical and Computational Biology. --- Biomedical Engineering/Biotechnology. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Biology --- Mathematics --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Brain mapping. --- Connectome mapping --- Mapping of the brain --- Topographic brain mapping --- Brain --- Localization of functions --- Neurociències --- Enginyeria biomèdica --- Enginyeria clínica --- Enginyeria mèdica --- Bioenginyeria --- Biofísica --- Enginyeria --- Medicina --- Electrònica mèdica --- Enginyeria de teixits --- Materials biomèdics --- Aparells i instruments mèdics --- Neurociència --- Ciències neurològiques --- Ciències de la salut --- Neuroanatomia --- Neurobiologia --- Neurociència computacional --- Neuroendocrinologia --- Neurofarmacologia --- Neurogenètica --- Neuroquímica --- Sistema nerviós
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This book constitutes the refereed proceedings of the Third International Workshop on Connectomics in NeuroImaging, CNI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 13 full papers presented were carefully reviewed and selected from 14 submissions. The papers deal with new advancements in network construction, analysis, and visualization techniques in connectomics and their use in clinical diagnosis and group comparison studies as well as in various neuroimaging applications.
Artificial intelligence. --- Data mining. --- Computers. --- Optical data processing. --- Artificial Intelligence. --- Data Mining and Knowledge Discovery. --- Models and Principles. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical equipment --- Brain mapping --- Connectome mapping --- Mapping of the brain --- Topographic brain mapping --- Brain --- Localization of functions
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