Developed by internationally renowned neurosurgeons, this unique book is designed for students of psychology and the biological sciences, and medical, dental, and nursing students.
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This book presents a unique synthesis of the current neuroscience of cognition by one of the world's authorities in the field. The guiding principle to this synthesis is the tenet that the entirety of our knowledge is encoded by relations, and thus by connections, in neuronal networks of our cerebral cortex. Cognitive networks develop by experience on a base of widely dispersed modular cell assemblies representing elementary sensations and movements. As they develop cognitive networks organize themselves hierarchically by order of complexity or abstraction of their content. Because networks intersect profusely, sharing commong nodes, a neuronal assembly anywhere in the cortex can be part of many networks, and therefore many items of knowledge. All cognitive functions consist of neural transactions within and between cognitive networks. After reviewing the neurobiology and architecture of cortical networks (also named cognits), the author undertakes a systematic study of cortical dynamics in each of the major cognitive functions--perception, memory, attention, language, and intelligence. In this study, he makes use of a large body of evidence from a variety of methodologies, in the brain of the human as well as the nonhuman primate. The outcome of his interdisciplinary endeavor is the emergence of a structural and dynamic order in the cerebral cortex that, though still sketchy and fragmentary, mirrors with remarkable fidelity the order in the human mind.
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"An atlas devoted exclusively to the anatomical descriptions and relationships of the cortical sulci has not previously been published. Ostensibly, it would seem an insurmountable task to classify the myriad sulcal patterns that exist upon the cortical surface. However, basic recurring themes can be identified in general terms, and trends in individual variabilities can be categorized"... Chad D. Abernathey, M.D.
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The somatosensory system is unique in that it conveys information to the central nervous system (CNS) about both external and internal sensory environments. Recent technological and conceptual advances in the field have allowed great strides to be made in the description and understanding of how the CNS manages information about its own image. This knowledge, apart from its obvious scientific merit, is quickly leading to clinical applications in the realm of neurorehabilitation after the peripheral nerve injury and during recovery from stroke.The Somatosensory System: Deciphering the Brain's Own Body Image presents both new and past research in the understanding of how the brain deals with its own body image. It provides a review of pertinent literature and offers comprehensive descriptions of state-of-the-art technical approaches. The material includes new frameworks for the conceptualization of the system's representations, scientific and clinical applications that stem from these approaches based on the new concepts, and a discussion of new directions and new tools for the study of the interface of the brain and the body.
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This is the only book available for studies of the mouse brain before birth. It presents a complete mapping of the developing mouse brain that features imaging of whole brain sections. Users will be able to compare structure shown in the Atlas to what they see in the microscope. This new, greatly expanded edition provides an easily accessible tool for researchers in the fields of normal and abnormal brain development.
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The study of areas in the cerebral cortex has a long history, bringing empirical data into close relation with fundamental conceptual issues about the cortex. The subject is currently being revitalized with the advent of new experimental methods and this book brings a modern perspective to the study of these areas. Cortical Areas: Unity and Diversity explores the correspondence of different methods of mapping areas, the correlation between connectivity and areas, interspecies variations and the developmental origin of areal differences. Cortical areas are also discussed in relation to functional evidence, discussing for instance similarities in cybernetic function between different sensory areas. The book also considers morphological substrates for integration between areas before exploring fundamental questions often asked in neurobiology and brain theory.
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This book fulfills that need by combining studies of anatomy and physiology and mathematical and computer modeling to obtain a quantitative description of cortical functions. The material is presented didactically; it starts with descriptive anatomy and comprehensively examines all aspects of modeling. The book gradually leads the reader from a macroscopic view of cortical anatomy and a description of standard electrophysiological properties of single neurons to neural network models and synchronous firing chains of neurons. Along the way, the most modern trends of neural network modeling are explored.
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The neural bases of decision-making processes are currently generating considerable experimental and theoretical interest. Several recent developments in neuroscience, psychology, and economics have helped to focus thinking on this issue: the computational description of cortico-striatal networks in terms of reinforcement learning models, recognition that midbrain dopaminergic activity could reflect an error correction learning signal, improvements in imaging technology, the recognition that multiple controllers of actions and of values contribute to the development of adaptive behavior, and the recognition that theories of value derived from economics can provide a principled means of incorporating intangible factors such as risk, uncertainty, and temporal discounting into computational models of neural system. The contributions to this volume are forward-looking assessments of the current and future issues likely to be faced by researchers in this area. Four current issues are specifically addressed:- the degree to which distinct behavioral and psychological capacities map onto discrete neural systems;- the relationship between midbrain dopamine activity and reward in terms of phasic and tonic activity, prefrontal and striatal targets, and whether and what limits exist in terms of learning;- whether there are multiple prediction error signals distinguishing between, for example, reward and punishment, instrumental versus Pavlovian conditioning, goals and habits, learning with different discount factors, real versus fictive learning; and- the relationship between economics and neuroscience, which has recently emerged in a marriage to form the new field of neuroeconomics. Will this marriage be productive for the long term or swiftly head for divorce?NOTE: Annals volumes are available for sale as individual books or as a journal. For information on institutional journal subscriptions, please visit www.blackwellpublishing.com/nyas.ACADEMY MEMBERS: Please contact the New York Academy of Sciences directly to place your order (www.nyas.org). Members of the New York Academy of Science receive full-text access to the Annals online and discounts on print volumes. Please visit http://www.nyas.org/MemberCenter/Join.aspx for more information about becoming a member
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