Download or read book Animal Models of Neurological Disorders written by Puneet Kumar Bansal and published by Springer. This book was released on 2018-01-17 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces undergraduate, postgraduate and research students and scientists to animal models of neurological disorders, along with their working principle and brief procedures. Addressing all the disorders related to the central nervous system (CNS) in a single platform, on the basis of various literature surveys it describes different procedures to induce a single disease with the help of toxins/chemicals. It also includes numerous protocols for inducing single neurological diseases, thus fulfilling an urgent need for a book that makes specific procedures for neurological disorders available, so that specific disease can be induced in laboratories according to the availability of resources. Further, it acquaints readers with the pathological changes that occur in a particular neurological disorder, which reflect specific signs and symptoms of any particular disease, and examines how they affect everyday life. It is a valuable resource for researchers aiming to eradicate or improve neurological disorders by testing the benefits of different drugs.
Download or read book The Neuroscience of Aging written by Colin R. Martin and published by Academic Press. This book was released on 2021-07-02 with total page 1500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Assessments, Treatments and Modeling in Aging and Neurological Disease: The Neuroscience of Aging is a comprehensive reference on the diagnosis and management of neurological aging and associated disorders. This book discusses the mechanisms underlying neurological aging and provides readers with a detailed introduction to the aging of neural connections and complexities in biological circuitries, as well as the interactions between genetics, epigenetics and other micro-environmental processes. It also examines pharmacological and non-pharmacological interventions of age-related conditions that affect the brain including Alzheimer's, stroke, and multiple sclerosis. Factors Affecting Neurological Aging: Genetics, Neurology, Behavior, and Diet is a comprehensive reference on the genetic and behavioral features associated with neurological aging and associated disorders. This book discusses the mechanisms underlying neurological aging and provides readers with a detailed introduction to the aging of neural connections and complexities in biological circuitries, as well as the physiological, behavioral, molecular, and cellular features of neurological aging. It also examines the use of animal modelling of aging and neurological disease. Assessments, Treatments and Modeling in Aging and Neurological Disease: The Neuroscience of Aging: Provides the most comprehensive coverage of the broad range of topics related to the neuroscience of aging Features sections on diagnosis and biomarkers of neurological aging, Alzheimer's, and stroke Contains in each chapter an abstract, key facts, mini dictionary of terms, and summary points to aid in understanding Focuses on neurological diseases and conditions linked to aging, environmental factors, and clinical recommendations Includes more than 500 illustrations and tables Factors Affecting Neurological Aging: Genetics, Neurology, Behavior, and Diet: Provides the most comprehensive coverage of the broad range of topics related to the neuroscience of aging Features sections on the genetics influencing aging and diseases of aging Contains in each chapter an abstract, key facts, mini dictionary of terms, and summary points to aid in understanding Focuses on neurological diseases and conditions linked to aging, environmental factors, and clinical recommendations Includes more than 500 illustrations and tables
Download or read book Animal Models of Acute Neurological Injuries written by Jun Chen and published by Springer Science & Business Media. This book was released on 2008-12-16 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite numerous recent studies and exciting discoveries in the field, only limited treatment is available today for the victims of acute neurological injuries. Animal Models of Acute Neurological Injuries provides a standardized methodology manual designed to eliminate the inconsistent preparations and variability that currently jeopardizes advances in the field. Contributed by top experts and many original developers of the models, each chapter contains a step-by-step, proven procedure and visual aids covering the most commonly used animal models of neurological injury in order to highlight the practical applications of animal models rather than the theoretical issues. This intensive volume presents its readily reproducible protocols with great clarity and consistency to best aid neuroscientists and neurobiologists in laboratory testing and experimentation. Comprehensive and cutting-edge, Animal Models of Acute Neurological Injuries is an ideal guide for scientists and researchers who wish to pursue this vital course of study with the proficiency and precision that the field requires.
Download or read book Animal Models for Neurological Disorders written by Anil Kumar and published by Bentham Science Publishers. This book was released on 2021-12-24 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Animal disease models are a vital tool to study diseases and associated conditions. Studies on animal models can, in some cases, be used as a basis for modeling and understanding human diseases. Biomedical scientists face a challenge to choose the correct animal model to study disease pathology, and neurological diseases are no exception to this rule. Animal Models for Neurological Disorders covers different animal models which have been used for studying neurological disorders. 13 topical chapters have been contributed by a group of experts on the subject with an aim to cover emerging experimental models of a range of neurological diseases encountered in the clinic including Alzheimer’s disease, psychosis, Parkinson’s, Huntington’s disease, vascular dementia, schizophrenia, multiple sclerosis and brain tumors, among others. The chapters also inform readers about relevant clinical correlations in each disease model where appropriate. Animal Models for Neurological Disorders is intended for all scholarly researchers and students of biomedical sciences, pharmacology, medicine (oncology, neurology, psychiatry), pharmacy, biochemistry, and biotechnology. The organized contents of the book also serve as a quick reference point for scientists working in applied areas of neuroscience including the study of neurodegenerative diseases and cognitive dysfunction in living organisms.
Download or read book Probabilistic Models of the Brain written by Rajesh P.N. Rao and published by MIT Press. This book was released on 2002-03-29 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function. This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.
Download or read book Neural Modeling written by Ronald MacGregor and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to introduce and survey the various quantitative methods which have been proposed for describing, simulating, embodying, or characterizing the processing of electrical signals in nervous systems. We believe that electrical signal processing is a vital determinant of the functional organization of the brain, and that in unraveling the inherent complexities of this processing it will be essential to utilize the methods of quantification and modeling which have led to crowning successes in the physical and engineering sciences. In comprehensive terms, we conceive neural modeling to be the attempt to relate, in nervous systems, function to structure on the basis of operation. Sufficient knowledge and appropriate tools are at hand to maintain a serious and thorough study in the area. However, work in the area has yet to be satisfactorily integrated within contemporary brain research. Moreover, there exists a good deal of inefficiency within the area resulting from an overall lack of direction, critical self-evaluation, and cohesion. Such theoretical and modeling studies as have appeared exist largely as fragmented islands in the literature or as sparsely attended sessions at neuroscience conferences. In writing this book, we were guided by three main immediate objectives. Our first objective is to introduce the area to the upcoming generation of students of both the hard sciences and psychological and biological sciences in the hope that they might eventually help bring about the contributions it promises.
Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Download or read book Models of the Mind written by Grace Lindsay and published by Bloomsbury Publishing. This book was released on 2021-03-04 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.
Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Brain Neurotrauma written by Firas H. Kobeissy and published by CRC Press. This book was released on 2015-02-25 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the contribution from more than one hundred CNS neurotrauma experts, this book provides a comprehensive and up-to-date account on the latest developments in the area of neurotrauma including biomarker studies, experimental models, diagnostic methods, and neurotherapeutic intervention strategies in brain injury research. It discusses neurotrauma mechanisms, biomarker discovery, and neurocognitive and neurobehavioral deficits. Also included are medical interventions and recent neurotherapeutics used in the area of brain injury that have been translated to the area of rehabilitation research. In addition, a section is devoted to models of milder CNS injury, including sports injuries.
Download or read book Handbook of Animal Models in Neurological Disorders written by Colin R Martin and published by Elsevier. This book was released on 2022-11-29 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Animal Models in Neurological Disorders will better readers' understanding of a large variety of animal models and their applicability in studying a number of neurological disorders. Featuring sections on brain injury, stroke and neuroinflammation, this volume discusses in detail the utility, success and pitfalls of multiple models for each condition. Multiple disorders are covered, ranging from neurodegenerative diseases like Alzheimer's, Parkinson's, and ALS, to multiple sclerosis, headache, migraine, and others. With expert authors, this book has applicability for anyone pursuing neuroscience or biomedical research working to better understand, study and ultimately treat neurological dysfunction. - Summarizes animal models for a variety of neurological conditions - Contains chapter abstracts, key facts, a dictionary and a summary - Covers both neurodegenerative diseases and other neurological conditions - Compares and contrasts different models and experimental systems - Includes sections on Alzheimer's, Parkinson's, brain injury, migraine, multiple sclerosis, and more
Download or read book Introduction to Neural and Cognitive Modeling written by Daniel S. Levine and published by Psychology Press. This book was released on 2000-02-01 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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/
Download or read book Modeling Brain Function written by D. J. Amit and published by Cambridge University Press. This book was released on 1989 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers. A growing group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made substantial progress understanding memory, the learning process, and self organization by studying the properties of models of neural networks - idealized systems containing very large numbers of connected neurons, whose interactions give rise to the special qualities of the brain. This book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. It is written at a level accessible to the wide range of researchers working on these problems - statistical physicists, biologists, computer scientists, computer technologists and cognitive psychologists. The author presents a coherent and clear nonmechanical presentation of all the basic ideas and results. More technical aspects are restricted, wherever possible, to special sections and appendices in each chapter. The book is suitable as a text for graduate courses in physics, electrical engineering, computer science and biology.
Download or read book Validating Neuro Computational Models of Neurological and Psychiatric Disorders written by Basabdatta Sen Bhattacharya and published by Springer. This book was released on 2015-10-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this field of research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases and should be useful for all neuro-computational modellers.
Download or read book Animal and Translational Models for CNS Drug Discovery Neurological Disorders written by Robert A. McArthur and published by Academic Press. This book was released on 2008-11-18 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurological Disorders is written for researchers in both academia and the pharmaceutical industry who use animal models in research and development of drugs for neurological disorders such as neurofibromatosis, Alzheimer's disease, Parkinson's disease, Huntington disease, ALS, and the epilepsies. Neurological Disorders has introductory chapters expressing the view of the role and relevance of animal models for drug discovery and development for the treatment of psychiatric disorders from the perspective of (a) academic basic neuroscientific research, (b) applied pharmaceutical drug discovery and development, and (c) issues of clinical trial design and regulatory agencies limitations. Each volume examines the rationale, use, robustness and limitations of animal models in each therapeutic area covered and discuss the use of animal models for target identification and validation. The clinical relevance of animal models is discussed in terms of major limitations in cross-species comparisons, clinical trial design of drug candidates, and how clinical trial endpoints could be improved. The aim of this series of volumes on Animal and Translational Models for CNS Drug Discovery is to identify and provide common endpoints between species that can serve to inform both the clinic and the bench with the information needed to accelerate clinically-effective CNS drug discovery. This is the second volume in the three volume-set, Animal and Translational Models for CNS Drug Discovery 978-0-12-373861-5, which is also available for purchase individually. - Clinical, academic, government and industry perspectives fostering integrated communication between principle participants at all stages of the drug discovery process - Critical evaluation of animal and translational models improving transition from drug discovery and clinical development - Emphasis on what results mean to the overall drug discovery process - Exploration of issues in clinical trial design and conductance in each therapeutic area
Download or read book Mouse Models in the Study of Genetic Neurological Disorders written by Brian Popko and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of mouse models that are available for the study of human genetic neurological disorders is large and growing rapidly. Therefore, it was difficult to select the models that were reviewed in this volume. Clearly, there are important models that are not discussed, and perhaps a volume twice this size would have been more appropriate. Moreover, the pace at which new models are being developed and analyzed is rapid. As this volume goes to press, I am sure that additional mouse genes responsible for naturally occurring neurological disorders are being discovered and that many new transgenic and mutant mouse strains are being developed. Therefore, this volume should not be viewed as a comprehensive compendium, but rather as an update of work in progress. It is exhilarating to witness the fast pace at which these models are being established as important tools in the study of basic neuroscience and neurological disorders. It will be even more exciting to see their utilization in the development and testing of therapeutic interventions for these diseases. I would like to thank each of the authors who have contributed to this volume for their time and their expertise. I would also like to thank Drs. Timothy Coetzee and Joshua Corbin for their advice in the selection of the topics covered. I am deeply indebted to Dr. Kunihiko Suzuki, who first approached me with the idea for this volume, for his guidance throughout its preparation.
Download or read book Graphical Models written by Michael Irwin Jordan and published by MIT Press. This book was released on 2001 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithm and architectures. The selections range from foundational papers of historical importance to results at the cutting edge of research. Graphical models use graphs to represent and manipulate joint probability distributions. They have their roots in artificial intelligence, statistics, and neural networks. The clean mathematical formalism of the graphical models framework makes it possible to understand a wide variety of network-based approaches to computation, and in particular to understand many neural network algorithms and architectures as instances of a broader probabilistic methodology. It also makes it possible to identify novel features of neural network algorithms and architectures and to extend them to more general graphical models.This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithms and architectures. The selections range from foundational papers of historical importance to results at the cutting edge of research. Contributors H. Attias, C. M. Bishop, B. J. Frey, Z. Ghahramani, D. Heckerman, G. E. Hinton, R. Hofmann, R. A. Jacobs, Michael I. Jordan, H. J. Kappen, A. Krogh, R. Neal, S. K. Riis, F. B. Rodríguez, L. K. Saul, Terrence J. Sejnowski, P. Smyth, M. E. Tipping, V. Tresp, Y. Weiss
