Model Systems and the Neurobiology of Associative Learning

Model Systems and the Neurobiology of Associative Learning PDF

Author: Joseph E. Steinmetz

Publisher: Psychology Press

Published: 2001-02-01

Total Pages: 438

ISBN-13: 9781138003644

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This volume contains a collection of papers written by former students, postdoctoral fellows, and colleagues of Richard Thompson and represent written versions of papers presented at the Festschrift symposium. The Festschrift provided an excellent opportunity for the participants to recount their memories and experiences of working with one of the leading figures in behavioral neuroscience, and to place their current research in the context of earlier research conducted in the Thompson laboratory. As a Festschrift volume, the various chapters contain numerous and sometimes very personal references to Richard Thompson's influence on the careers of the authors, as well as summaries of past and present work being conducted in the authors' laboratories. Part I includes studies of spinal cord plasticity and the involvement of the hippocampus and related structure in classical eyeblink conditioning. Part II explores the critical role of the cerebellum and associated areas in classical eyeblink conditioning. Part III focuses on a continued exploration of the involvement of the cerebellum in classical eyeblink conditioning using standard procedures as well as innovative molecular biology and genetic techniques. It also includes studies aimed at delineating modulatory influences on learning such as stress and hormonal factors. The incredible influence that Richard Thompson has had on the fields of experimental psychology and neuroscience should be evident on reading the contributions made by the various authors to this volume. The research conducted in Thompson's laboratory over the years has been cutting-edge, comprehensive, and influential. Therefore, this volume is dedicated to Richard F. Thompson a productive, innovative scientist and outstanding mentor.

Model Systems and the Neurobiology of Associative Learning

Model Systems and the Neurobiology of Associative Learning PDF

Author: Joseph E. Steinmetz

Publisher: Psychology Press

Published: 2013-09-05

Total Pages: 475

ISBN-13: 1134810253

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This volume contains a collection of papers written by former students, postdoctoral fellows, and colleagues of Richard Thompson and represent written versions of papers presented at the Festschrift symposium. The Festschrift provided an excellent opportunity for the participants to recount their memories and experiences of working with one of the leading figures in behavioral neuroscience, and to place their current research in the context of earlier research conducted in the Thompson laboratory. As a Festschrift volume, the various chapters contain numerous and sometimes very personal references to Richard Thompson's influence on the careers of the authors, as well as summaries of past and present work being conducted in the authors' laboratories. Part I includes studies of spinal cord plasticity and the involvement of the hippocampus and related structure in classical eyeblink conditioning. Part II explores the critical role of the cerebellum and associated areas in classical eyeblink conditioning. Part III focuses on a continued exploration of the involvement of the cerebellum in classical eyeblink conditioning using standard procedures as well as innovative molecular biology and genetic techniques. It also includes studies aimed at delineating modulatory influences on learning such as stress and hormonal factors. The incredible influence that Richard Thompson has had on the fields of experimental psychology and neuroscience should be evident on reading the contributions made by the various authors to this volume. The research conducted in Thompson's laboratory over the years has been cutting-edge, comprehensive, and influential. Therefore, this volume is dedicated to Richard F. Thompson a productive, innovative scientist and outstanding mentor.

Model Systems and the Neurobiology of Associative Learning

Model Systems and the Neurobiology of Associative Learning PDF

Author: Joseph E. Steinmetz

Publisher: Psychology Press

Published: 2013-09-05

Total Pages: 439

ISBN-13: 1134810180

DOWNLOAD EBOOK →

This volume contains a collection of papers written by former students, postdoctoral fellows, and colleagues of Richard Thompson and represent written versions of papers presented at the Festschrift symposium. The Festschrift provided an excellent opportunity for the participants to recount their memories and experiences of working with one of the leading figures in behavioral neuroscience, and to place their current research in the context of earlier research conducted in the Thompson laboratory. As a Festschrift volume, the various chapters contain numerous and sometimes very personal references to Richard Thompson's influence on the careers of the authors, as well as summaries of past and present work being conducted in the authors' laboratories. Part I includes studies of spinal cord plasticity and the involvement of the hippocampus and related structure in classical eyeblink conditioning. Part II explores the critical role of the cerebellum and associated areas in classical eyeblink conditioning. Part III focuses on a continued exploration of the involvement of the cerebellum in classical eyeblink conditioning using standard procedures as well as innovative molecular biology and genetic techniques. It also includes studies aimed at delineating modulatory influences on learning such as stress and hormonal factors. The incredible influence that Richard Thompson has had on the fields of experimental psychology and neuroscience should be evident on reading the contributions made by the various authors to this volume. The research conducted in Thompson's laboratory over the years has been cutting-edge, comprehensive, and influential. Therefore, this volume is dedicated to Richard F. Thompson a productive, innovative scientist and outstanding mentor.

Learning and Memory

Learning and Memory PDF

Author: Joe L. Jr. Martinez

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 471

ISBN-13: 0323149170

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Learning and Memory: A Biological View is a comprehensive textbook about the neurobiology of learning and memory. Topics covered include developmental approaches to the memory process; anatomical correlates of neuronal plasticity; drugs that modulate learning and memory; and biochemical correlates of learning and memory. The link between aging and memory is also discussed, along with electrophysiological approaches to the study of memory. Comprised of 12 chapters, this book begins with a review of historical traditions that influenced research on the biological basis of learning and memory. Experimental findings suggesting that the engram for a simple classically conditioned skeletal response may be in the cerebellum are also presented. The next chapter emphasizes the importance of anatomical mechanisms that could mediate learning, plasticity, and memory storage in young and adult animals. Subsequent chapters explore the influence of peripheral hormones and particularly opioid peptides on complex behavior such as learning and memory; the contribution of individual neurotransmitter systems to learning; the psychopathology of aging; and long-term potentiation as a model of the way the central nervous system stores information. Learning in complex vertebrate systems and direct stimulation of various brain nuclei are also examined. The final chapter presents a neurobehavioral analysis of the structure of memory formation that utilizes lesions and explores human memory pathology. This monograph is intended for advanced undergraduate students, graduate students, and research workers in the field of memory.

Computational Models of Brain and Behavior

Computational Models of Brain and Behavior PDF

Author: Ahmed A. Moustafa

Publisher: John Wiley & Sons

Published: 2017-11-13

Total Pages: 586

ISBN-13: 1119159067

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A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

Neural Plasticity and Memory

Neural Plasticity and Memory PDF

Author: Federico Bermudez-Rattoni

Publisher: CRC Press

Published: 2007-04-17

Total Pages: 368

ISBN-13: 1420008412

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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

Learning and Memory

Learning and Memory PDF

Author: Bozzano G Luisa

Publisher: Academic Press

Published: 2012-12-02

Total Pages: 469

ISBN-13: 0323137687

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Learning and Memory: A Biological View is a comprehensive textbook about the neurobiology of learning and memory. Topics covered range from anatomical correlates of neuronal plasticity to drugs that modulate learning and memory, along with biochemical correlates of learning and memory. The effect of aging on memory and electrophysiological analogs of memory are also discussed. Comprised of 12 chapters, this book begins with a review of historical traditions that influenced research on the biological basis of learning and memory. Experimental results indicating that the engram for a simple classically conditioned skeletal response may be in the cerebellum are also summarized. The next chapter stresses the importance of anatomical mechanisms that could mediate learning, plasticity, and memory storage in young and adult animals. Subsequent chapters focus on the influence of peripheral hormones, including opioid peptides, on learning and memory; the contribution of individual neurotransmitter systems to learning; the psychopathology of aging; and long-term potentiation. Learning in complex vertebrate systems and direct stimulation of various brain nuclei are also considered. The final chapter presents a neurobehavioral analysis of the structure of memory formation that utilizes lesions and explores human memory pathology. This monograph is intended for advanced undergraduate students, graduate students, and research workers in the field of memory.

Introduction to Neural and Cognitive Modeling

Introduction to Neural and Cognitive Modeling PDF

Author: Daniel S. Levine

Publisher: Psychology Press

Published: 2000-02-01

Total Pages: 573

ISBN-13: 1135692246

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This thoroughly, thoughtfully revised edition of a very successful textbook makes the principles and the details of neural network modeling accessible to cognitive scientists of all varieties as well as to others interested in these models. Research since the publication of the first edition has been systematically incorporated into a framework of proven pedagogical value. Features of the second edition include: * A new section on spatiotemporal pattern processing * Coverage of ARTMAP networks (the supervised version of adaptive resonance networks) and recurrent back-propagation networks * A vastly expanded section on models of specific brain areas, such as the cerebellum, hippocampus, basal ganglia, and visual and motor cortex * Up-to-date coverage of applications of neural networks in areas such as combinatorial optimization and knowledge representation As in the first edition, the text includes extensive introductions to neuroscience and to differential and difference equations as appendices for students without the requisite background in these areas. As graphically revealed in the flowchart in the front of the book, the text begins with simpler processes and builds up to more complex multilevel functional systems. For more information visit the author's personal Web site at www.uta.edu/psychology/faculty/levine/

Attention and Associative Learning

Attention and Associative Learning PDF

Author: Chris J. Mitchell

Publisher: Oxford University Press, USA

Published: 2010

Total Pages: 430

ISBN-13:

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Attention and Associative Learning brings together leading international learning and attention researchers to provide both a comprehensive and wide-ranging overview of the current state of knowledge of this area as well as new perspectives and directions for the future. There are coherent themes than run throughout the book, but there are also, inevitably, fundamental disagreements between contributors on the role of attention in learning. Together, the views expressed in this book paint a picture of a vibrant and exciting area of psychological research.

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