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Handbook of the Aging Brain brings together diverse scientific disciplines to cover the most recent research findings in an easy-to-read summary. Scientists and clinicians will find a wide spectrum of subjects including gerontology, neurology, psychology, molecular biology, and cellular biology. The book includes general chapters on the neuroanatomy and neurobiology of the aging brain, and moves on to discussion of specifics including signal transduction, cell death, and specific cellular and neurological changes associated with dementia, Alzheimer's and Parkinson's Disease. Other chapters discuss the affect of aging on learning and memory, language, and cognition.
Neurobiology of Learning and Memory provides an excellent overview of current information on this fast-growing field of neurobiology. The contents have been structured for use as a course text or as a handy resource for researchers in neuro- and cognitive psychology. It discusses learning and memory from developmental, pharmacological, and psychobiological perspectives, as well as changes in learning and memory with age. Neurobiology of Learning and Memory also includes research on invertebrates and vertebrates, presenting basics in anatomy and development along with computational models. It is written in an easy-to-follow format with summaries at the end of each chapter.Key Features* Provides an overview of information on the neurobiology of learning and memory* Discusses learning and memory from developmental, pharmacological, and psychobiological perspectives, and changes in learning and memory with age* Includes research on invertebrates and vertebrates* Gives basics on anatomy and development* Written for easy comprehension with chapter summaries
This new book focuses on new research on cognitive science which is most simply defined as the scientific study either of mind or of intelligence. It is an interdisciplinary study drawing from relevant fields including psychology, philosophy, neuroscience, linguistics, anthropology, computer science, biology, and physics. There are several approaches to the study of cognitive science. These approaches may be classified broadly as symbolic, connectionist, and dynamic systems. Symbolic -- holds that cognition can be explained using operations on symbols, by means of explicit computational theories and models of mental (but not brain) processes analogous to the workings of a digital computer. Connectionist (subsymbolic) -- holds that cognition can only be modelled and explained by using artificial neural networks on the level of physical brain properties. Hybrid systems -- holds that cognition is best modelled using both connectionist and symbolic models, and possibly other computational techniques.
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Presents information from the primary abiotic forces defining the system, and from the present hydrology, biogeochemistry and physics of major sites of organic carbon production of the McMurdo Dry Valleys. Additionally, research on the physical, chemical, and biological properties of the dry valley soils is included. The role of environmental management in long-term ecological studies is also addressed. The accompanying CDROM provides details and scale to visualize the McMurdo Dry Valleys from an ecosystem perspective.
Learning and memory functions as well as many neurodegenerative and neuropsychiatric disorders, including Parkinson’s disease, drug addiction and schizophrenia are caused by dysregulation of cell signaling mechanisms in the brain. This issue of Frontiers will provide evidence for signal transduction alterations implicated in cognitive and non cognitive behaviors, as investigated by means of pharmacological and genetic approaches. Specialists in the field will be invited to contribute articles covering the impact on behavior of manipulations of neurotransmitter systems, intracellular signaling cascades and gene expression.