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Latent Inhibition and Its Neural Substrates describes a neural network model of attentional processes during associative learning, mainly latent inhibition, and shows how variables in the model can be mapped onto different brain regions and neurotransmitters. The result is a neurophysiological model capable of generating predictions and descriptions of numerous experimental results using latent inhibition, including the effects of brain lesions, drug administration, and the combination of both. The model also explains the absence of latent inhibition in acute schizophrenia and its reinstatement by the administration of psychotropic drugs.
Latent inhibition is a phenomenon by which exposure to an irrelevant stimulus impedes the acquisition or expression of conditioned associations with that stimulus. Latent inhibition, an integral part of the learning process, is observed in many species. This comprehensive collection of studies of latent inhibition, from a variety of disciplines including behavioural/cognitive psychology, neuroscience and genetics, focuses on abnormal latent inhibition effects in schizophrenic patients and schizotypal normals. Amongst other things, the book addresses questions such as, is latent inhibition an acquisition or performance deficit? What is the relationship of latent inhibition to habituation, extinction, and learned irrelevance? Does reduced latent inhibition predict creativity? What are the neural substrates, pharmacology, and genetics of latent inhibition? What do latent inhibition research and theories tell us about schizophrenia? This book provides a single point of reference for neuroscience researchers, graduate students, and professionals, such as psychologists and psychiatrists.
Despite considerable progress in clinical and basic neurosciences, the cure of psychiatric disorders is still remote, little is known about their prevention, and the etiology and molecular mechanisms of mental disorders are still obscure. Diagnoses are still guided by patients' stories. The mission of animal models is to bridge the gap between `the story and the synapse.' Contemporary Issues in Modeling of Psychopathology attempts to do this by examining such questions as `What good might come from such a model? Are we wasting our time? How far can we carry results from model animals, such as rats and mice, without causing a highly distorted view of the field and its goals?' This book serves as the opening volume for a new series, Neurobiological Foundation of Aberrant Behaviors.
Latent inhibition is a phenomenon by which exposure to an irrelevant stimulus impedes the acquisition or expression of conditioned associations with that stimulus. Latent inhibition, an integral part of the learning process, is observed in many species. This comprehensive collection of studies of latent inhibition, from a variety of disciplines including behavioural/cognitive psychology, neuroscience and genetics, focuses on abnormal latent inhibition effects in schizophrenic patients and schizotypal normals. Amongst other things, the book addresses questions such as, is latent inhibition an acquisition or performance deficit? What is the relationship of latent inhibition to habituation, extinction, and learned irrelevance? Does reduced latent inhibition predict creativity? What are the neural substrates, pharmacology, and genetics of latent inhibition? What do latent inhibition research and theories tell us about schizophrenia? This book provides a single point of reference for neuroscience researchers, graduate students, and professionals, such as psychologists and psychiatrists.
A comprehensive, multidisciplinary review, Neural Plasticity and Memory: From Genes to Brain Imaging provides an in-depth, up-to-date analysis of the study of the neurobiology of memory. Leading specialists share their scientific experience in the field, covering a wide range of topics where molecular, genetic, behavioral, and brain imaging techniq
Latent inhibition is an exquisitely simple, robust, and pervasive behavioural phenomenon - the reduced ability of an organism to learn new associations to previously inconsequential stimuli. It has been demonstrated in a variety of animals, including humans, across many different learning tasks.
The first volume in the new Cambridge Handbooks in Behavioral Genetics series, Behavioral Genetics of the Mouse provides baseline information on normal behaviors, essential in both the design of experiments using genetically modified or pharmacologically treated animals and in the interpretation and analyses of the results obtained. The book offers a comprehensive overview of the genetics of naturally occurring variation in mouse behavior, from perception and spontaneous behaviors such as exploration, aggression, social interactions and motor behaviors, to reinforced behaviors such as the different types of learning. Also included are numerous examples of potential experimental problems, which will aid and guide researchers trying to troubleshoot their own studies. A lasting reference, the thorough and comprehensive reviews offer an easy entrance into the extensive literature in this field, and will prove invaluable to students and specialists alike.
It has been 15 years since the original publication of Neuropsychology of Attention. At the time of its publication, attention was a construct that had long been of theoretical interest in the field of psychology and was receiving increased research by cognitive scientists. Yet, attention was typically viewed as a nuisance variable; a factor that needed to be accounted for when assessing brain function, but of limited importance in its own right. There is a need for a new edition of this book within Neuropsychology to present an updated and integrated review of what is know about attention, the disorders that affect it, and approaches to its clinical assessment and treatment. Such a book will provide perspectives for experimental neuropsychological study of attention and also provide clinicians with insights on how to approach this neuropsychological domain.
A neural network view of the processes involved in classical conditioning using computational simulations to analyse actual experimental data.