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The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification, pattern recognition and prediction, as well as more sophisticated tasks like the processing of temporal sequences and the context dependent processing of complex problems. Also, a wide variety of control tasks can be executed by them, and the suggestion is relatively obvious that neural networks perform adequately in such cases because they are thought to mimic the biological nervous system which is also devoted to such tasks. As we shall see, this suggestion is false but does not do any harm as long as it is only the final performance of the algorithm which counts. Neural networks are also used in the modelling of the functioning of (sub systems in) the biological nervous system. It will be clear that in such cases it is certainly not irrelevant how similar their algorithm is to what is precisely going on in the nervous system. Standard artificial neural networks are constructed from 'units' (roughly similar to neurons) that transmit their 'activity' (similar to membrane potentials or to mean firing rates) to other units via 'weight factors' (similar to synaptic coupling efficacies).
The Clinical Neuroscience of Lateralization gives the first comprehensive transdiagnostic overview of the evidence for changes in hemispheric asymmetries in different psychiatric and neurodevelopmental disorders. Taking a multidisciplinary perspective informed by both basic science and clinical studies, the authors integrate recent breakthroughs on hemispheric asymmetries in psychology, neuroscience, genetics and comparative research. They give a general introduction to hemispheric asymmetries and the techniques used to assess them, and review the evidence for changes in hemispheric asymmetries in different psychiatric and neurodevelopmental disorders. The book also discusses neurological disorders like Parkinson's disease and multiple sclerosis and highlights the importance of open science in clinical laterality research. Offering a fresh perspective on a longstanding issue in clinical neuroscience, this book will be of great interest for academics, researchers, and students in the fields of clinical and developmental neuroscience, biopsychology and neuropsychology.
Is "right-brain" thought essentially creative, and "left-brain" strictly logical? Joseph B. Hellige argues that this view is far too simplistic. Surveying extensive data in the field of cognitive science, he disentangles scientific facts from popular assumptions about the brain's two hemispheres. In Hemispheric Asymmetry, Hellige explains that the "right brain" and "left brain" are actually components of a much larger cognitive system encompassing cortical and subcortical structures, all of which interact to produce unity of thought and action. He further explores questions of whether hemispheric asymmetry is unique to humans, and how it might have evolved. This book is a valuable overview of hemispheric asymmetry and its evolutionary precedents.
The proposed book investigates brain asymmetry from the perspective of functional neural systems theory, a foundational approach for the topic. There is currently no such book available on the market and there is a need for a neuroscience book, with a focus on the functional asymmetry of these two integrated and dynamic brains using historical and modern clinical and experimental research findings with the field. The book provides evidence from multiple methodologies, including clinical lesion studies, brain stimulation, and modern imaging techniques. The author has successfully used the book in doctoral and advances undergraduate courses on neuroscience and neuropsychology. It has also been used to teach a course on the biological basis of behavior and could be used in a variety of contexts and courses.
An overview of the central role in cognitive neuroscience of the corpus callosum, the bands of tissue connecting the brain's two hemispheres.
Provides a summary of glioma biology, genetics and management, based on the world-leading Duke University Preston Robert Tisch Brain Tumor Center program.
Experts review the latest research on the neocortex and consider potential directions for future research. Over the past decade, technological advances have dramatically increased information on the structural and functional organization of the brain, especially the cerebral cortex. This explosion of data has radically expanded our ability to characterize neural circuits and intervene at increasingly higher resolutions, but it is unclear how this has informed our understanding of underlying mechanisms and processes. In search of a conceptual framework to guide future research, leading researchers address in this volume the evolution and ontogenetic development of cortical structures, the cortical connectome, and functional properties of neuronal circuits and populations. They explore what constitutes “uniquely human” mental capacities and whether neural solutions and computations can be shared across species or repurposed for potentially uniquely human capacities. Contributors Danielle S. Bassett, Randy M. Bruno, Elizabeth A. Buffalo, Michael E. Coulter, Hermann Cuntz, Stanislas Dehaene, James J. DiCarlo, Pascal Fries, Karl J. Friston, Asif A. Ghazanfar, Anne-Lise Giraud, Joshua I. Gold, Scott T. Grafton, Jennifer M. Groh, Elizabeth A. Grove, Saskia Haegens, Kenneth D. Harris, Kristen M. Harris, Nicholas G. Hatsopoulos, Tarik F. Haydar, Takao K. Hensch, Wieland B. Huttner, Matthias Kaschube, Gilles Laurent, David A. Leopold, Johannes Leugering, Belen Lorente-Galdos, Jason N. MacLean, David A. McCormick, Lucia Melloni, Anish Mitra, Zoltán Molnár, Sydney K. Muchnik, Pascal Nieters, Marcel Oberlaender, Bijan Pesaran, Christopher I. Petkov, Gordon Pipa, David Poeppel, Marcus E. Raichle, Pasko Rakic, John H. Reynolds, Ryan V. Raut, John L. Rubenstein, Andrew B. Schwartz, Terrence J. Sejnowski, Nenad Sestan, Debra L. Silver, Wolf Singer, Peter L. Strick, Michael P. Stryker, Mriganka Sur, Mary Elizabeth Sutherland, Maria Antonietta Tosches, William A. Tyler, Martin Vinck, Christopher A. Walsh, Perry Zurn
This book is about how human brains create and use language. The author covers this material in eight chapters that encompass the range of knowledge about the subject and can read in any order.