methods of behavior analysis in neuroscience frontiers in neuroscience

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Methods Of Behavior Analysis In Neuroscience

Author : Jerry J. Buccafusco
ISBN : 9781420041811
Genre : Science
File Size : 37. 9 MB
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Using the most well-studied behavioral analyses of animal subjects to promote a better understanding of the effects of disease and the effects of new therapeutic treatments on human cognition, Methods of Behavior Analysis in Neuroscience provides a reference manual for molecular and cellular research scientists in both academia and the pharmaceutical industry. The materials presented draw from the scholarly works of recognized experts in several fields of cognitive and behavioral neuroscience. Each contributor describes the most frequently used and most widely accepted version of the model, and each chapter includes: (1) a well-referenced introduction that covers the theory behind and the utility of the model; (2) a detailed and step-by-step methodology; and (3) an approach to the interpretation of the data presented. Many chapters also provide examples of actual experiments that use the method. This text eliminates the guesswork from the process of designing the methodology for many of the animal behavioral models that are used to study brain disorders, drug abuse, toxicology, and cognitive drug development. It will also significantly reduce the time spent assessing literature and developing models for studying animal subjects. Overall, Methods of Behavioral Analysis in Neuroscience is an invaluable reference source for the professional who seeks to comprehend the effects of disease on human cognition.

Methods Of Behavior Analysis In Neuroscience Second Edition

Author : Jerry J. Buccafusco
ISBN : 1420052349
Genre : Science
File Size : 78. 6 MB
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Behavioral techniques used in animals to model human diseases and predict effects of novel drugs are as varied as the numbers of scientists who use them. Consequently, behavioral analysis is becoming an increasingly indispensable tool for the neuroscientist as information gained at the molecular and cellular level is put into practice in fully behaving animal subjects. Uses Animal Behavior Models to Examine Effects of Therapeutic Treatments on Human Cognition With contributions from more than 40 field specialists, Methods of Behavioral Analysis in Neuroscience reflects six years worth of updates to its first bestselling edition and elucidates new behavioral approaches that are quickly becoming field standards. This edition features new material on the relevance of transgenic mouse models for Alzheimer’s disease, behavioral methods for assessing the cognitive impairment associated with major psychotic disorders, the revival of the scopolamine reversal model for assessing the clinical relevance of AD drugs, and approaches to assessing cognitive impairment in aged mice. Each chapter presents theoretical background, methodology, and data interpretation, and many chapters include real-world examples of experiments that incorporate the models. With step-by-step, easy-to-reproduce methodologies, this sharply focused work covers well-studied behavioral approaches that provide a better understanding of the effects of disease and allow for better predictability of the effects of therapeutic treatments on the human cognition. It takes the guesswork out of designing the methodology for many of the most widely used animal behavioral approaches developed for the study of brain disorders, drug abuse, toxicology, and cognitive drug development.

Methods In Alcohol Related Neuroscience Research

Author : Yuan Liu
ISBN : 1420042092
Genre : Science
File Size : 81. 21 MB
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Neuroscience research in alcohol-related disorders has made remarkable progress in the last two decades. The advances are due, in great part, to the large array of powerful biomedical, bioengineering, and computational biological techniques that are now employed. To date, there has not been a comprehensive text that covers recently developed methods in alcohol-related research. Methods in Alcohol-Related Neuroscience Research provides up-to-date technical guidance for investigators doing research at the molecular, cellular, systems, and behavioral levels. These techniques include a wide variety of approaches, ranging from gene mapping and examination of molecular interactions of alcohol at the sub-cellular level to recording of neural activities in freely-behaving animals and imaging alcohol effects on the living human brain. Written by a panel of experts, Methods in Alcohol-Related Neuroscience Research not only provides information of a technical nature but also gives an overview of the many areas in investigating the effects of alcohol on the brain.

Methods In Insect Sensory Neuroscience

Author : Thomas A. Christensen
ISBN : 9781420039429
Genre : Science
File Size : 73. 56 MB
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Insects are among the most diverse and adaptable organisms on Earth. They have long been our chief competitors for food and are responsible for spreading devastating afflictions such as malaria and encephalitis. The insects’ ability to thrive is due in large part to their well-developed sensory systems, which present a host of novel physiological, biochemical, and behavioral attributes that underlie their remarkable feats of sensory performance. Methods in Insect Neuroscience is the first text to showcase the tremendous variety of methods that are available to study the sensory capabilities of insects. It covers the complete spectrum of sensory modalities in insects, from vision and audition, to chemoreception and multimodal processing. The book is designed to serve as a how to guide for putting into practice a wide range of techniques, including behavioral observation, brain imaging, single- and multi-unit electrophysiology, computer modeling/signal processing, and robotics to address innumerable questions. A truly multidisciplinary synthesis of neurobiological, behavioral, and computational approaches to sensory-information processing is most likely to yield our richest understanding of the mechanisms that underlie sensation and perception. In that spirit, this book contains chapters by leading neuroethologists, comparative biologists, neuroscientists, computational biologists, geneticists, and bioengineers who have adopted insects as their models. Their hard work and dedication is evident in the quality of detail contained in every chapter. This book is intended for seasoned neuroscientists looking for state-of-the-art information, as well as discussions on the open-ended questions facing sensory neuroscience today. It is also intended as a primer for newcomers utilizing insects to embark on a study of sensory mechanisms.The opening section provides background information and references about the basic organization of the insect brain and the behavioral strategies used by insects to navigate their complex and varied environments. The latter sections are designed to provide more detailed information about specific sensory modalities and the tools that are used to study them.

Nonlinear Analysis In Neuroscience And Behavioral Research

Author : Tobias A. Mattei
ISBN : 9782889199969
Genre :
File Size : 50. 30 MB
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Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as most physical systems are inherently nonlinear in nature), the recent successful application of nonlinear methods to modeling and predicting several evolutionary, ecological, physiological, and biochemical processes has generated great interest and enthusiasm among researchers in computational neuroscience and cognitive psychology. Additionally, in the last years it has been demonstrated that nonlinear analysis can be successfully used to model not only basic cellular and molecular data but also complex cognitive processes and behavioral interactions. The theoretical features of nonlinear systems (such unstable periodic orbits, period-doubling bifurcations and phase space dynamics) have already been successfully applied by several research groups to analyze the behavior of a variety of neuronal and cognitive processes. Additionally the concept of strange attractors has lead to a new understanding of information processing which considers higher cognitive functions (such as language, attention, memory and decision making) as complex systems emerging from the dynamic interaction between parallel streams of information flowing between highly interconnected neuronal clusters organized in a widely distributed circuit and modulated by key central nodes. Furthermore, the paradigm of self-organization derived from the nonlinear dynamics theory has offered an interesting account of the phenomenon of emergence of new complex cognitive structures from random and non-deterministic patterns, similarly to what has been previously observed in nonlinear studies of fluid dynamics. Finally, the challenges of coupling massive amount of data related to brain function generated from new research fields in experimental neuroscience (such as magnetoencephalography, optogenetics and single-cell intra-operative recordings of neuronal activity) have generated the necessity of new research strategies which incorporate complex pattern analysis as an important feature of their algorithms. Up to now nonlinear dynamics has already been successfully employed to model both basic single and multiple neurons activity (such as single-cell firing patterns, neural networks synchronization, autonomic activity, electroencephalographic measurements, and noise modulation in the cerebellum), as well as higher cognitive functions and complex psychiatric disorders. Similarly, previous experimental studies have suggested that several cognitive functions can be successfully modeled with basis on the transient activity of large-scale brain networks in the presence of noise. Such studies have demonstrated that it is possible to represent typical decision-making paradigms of neuroeconomics by dynamic models governed by ordinary differential equations with a finite number of possibilities at the decision points and basic heuristic rules which incorporate variable degrees of uncertainty. This e-book has include frontline research in computational neuroscience and cognitive psychology involving applications of nonlinear analysis, especially regarding the representation and modeling of complex neural and cognitive systems. Several experts teams around the world have provided frontline theoretical and experimental contributions (as well as reviews, perspectives and commentaries) in the fields of nonlinear modeling of cognitive systems, chaotic dynamics in computational neuroscience, fractal analysis of biological brain data, nonlinear dynamics in neural networks research, nonlinear and fuzzy logics in complex neural systems, nonlinear analysis of psychiatric disorders and dynamic modeling of sensorimotor coordination. Rather than a comprehensive compilation of the possible topics in neuroscience and cognitive research to which non-linear may be used, this e-book intends to provide some illustrative examples of the broad range of

Methods In Chemosensory Research

Author : Sidney A. Simon
ISBN : 9781420038729
Genre : Science
File Size : 71. 67 MB
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Written by world experts in the field of neuronal chemoreception, Methods in Chemosensory Research describes new molecular, electrophysiological, genetic, behavioral, psychophysical, and imaging techniques that have recently been adapted to investigate the basic neuronal mechanisms underlying chemoreception: taste, olfaction and chemical-induced irritation. This unique book includes a wide variety of new and innovative imaging methods, electrophysiological methods, methods to investigate development, and various aspects of behavioral testing. Covering the entire spectrum of chemoreception, each section not only describes what information can be obtained by using each method, but also shows how to apply each method to obtain reliable results. The book presents a comprehensive view of how the brain uses information about chemical stimuli that interact with receptors in the nose and tongue. Methods in Chemosensory Research gives you the new tools to learn how chemicals affect activity from the genetic to the behavioral levels.

Behavior Analysis And Learning

Author : W. David Pierce
ISBN : 9781351779807
Genre : Psychology
File Size : 60. 15 MB
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Using a consistent Skinnerian perspective, Behavior Analysis and Learning: A Biobehavioral Approach, Sixth Edition provides an advanced introduction to the principles of behavior analysis and learned behaviors, covering a full range of principles from basic respondent and operant conditioning through applied behavior analysis into cultural design. The textbook uses Darwinian, neurophysiological, and biological theories and research to inform B. F. Skinner’s philosophy of radical behaviorism. The sixth edition expands focus on neurophysiological mechanisms and their relation to the experimental analysis of behavior, providing updated studies and references to reflect current expansions and changes in the field of behavior analysis. By bringing together ideas from behavior analysis, neuroscience, and epigenetics under a selectionist framework, this textbook facilitates understanding of behavior at environmental, genetic, and neurophysiological levels. This "grand synthesis" of behavior, neuroscience, and neurobiology roots behavior firmly in biology. The book includes special sections, "New Directions," "Focus On," "Note On," "On the Applied Side," and "Advanced Section," which enhance student learning and provide greater insight on specific topics. This book is a valuable resource for advanced undergraduate and graduate students in psychology or other behavior-based disciplines, especially behavioral neuroscience. For additional resources to use alongside the textbook, consult the Companion Website at www.routledge.com/cw/pierce.

Methods In Social Neuroscience

Author : Eddie Harmon-Jones
ISBN : 9781462506279
Genre : Psychology
File Size : 79. 94 MB
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Straightforward and practical, this is the first book to provide detailed guidance for using neurobiological methods in the study of human social behavior, personality, and affect. Each chapter clearly introduces the method at hand, provides examples of the method's applications, discusses its strengths and limitations, and reviews concrete experimental design considerations. Written by acknowledged experts, chapters cover neuroimaging techniques, genetic measurement, hormonal methods, lesion studies, startle eyeblink responses, facial electromyography, autonomic nervous system responses, and modeling based on neural networks.

Grundlagen Zur Neuroinformatik Und Neurobiologie

Author : Patricia S. Churchland
ISBN : 9783322868213
Genre : Technology & Engineering
File Size : 60. 7 MB
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The Computational Brain, das außergewöhnliche Buch über vergleichende Forschung in den Bereichen von menschlichem Gehirn und neuesten Möglichkeiten der Computertechnologie, liegt hiermit erstmals in deutscher Sprache vor. Geschrieben von einem führenden Forscherteam in den USA, ist es eine Fundgrube für alle, die wissen wollen, was der Stand der Wissenschaft auf diesem Gebiet ist. Die Autoren führen die Bereiche der Neuroinformatik und Neurobiologie mit gut ausgesuchten Beispielen und der gebotenen Hintergrundinformation gekonnt zusammen. Das Buch wird somit nicht nur dem Fachwissenschaftler sondern auch dem interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht. Übersetzt wurde das Buch von Prof. Dr. Steffen Hölldobler und Dipl.-Biol. Claudia Hölldobler, einem Informatiker und einer Biologin. Rezension in Spektrum der Wissenschaft nr. 10, S. 122 f. im Oktober 1997 (...) Die 1992 erschienene amerikanische Originalausgabe des vorliegenden Werkes ist so erfolgreich, daß man bereits von einem Klassiker reden kann. (...) (...) ....ist das Buch sehr zu empfehlen. In Verbindung von Neurobiologie und Neuroinformatik konkurrenzlos, vermittelt es einiges von der Faszination theoretischer Hirnforschung, die auch in Deutschland zunehmend mehr Wissenschaftler in ihren Bann schlägt. Rezension erschienen in: Computer Spektrum 3/1997, S. 2 (...)Das Buch wird somit nicht nur dem Fachwissenschaftler, sondern auch den interdisziplinären Interesse des Informatikers und des Biologen auf eine hervorragende Weise gerecht(...)

Methods In Genomic Neuroscience

Author : Hemin R. Chin
ISBN : 9781420038477
Genre : Science
File Size : 68. 99 MB
Format : PDF
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The past few years have witnessed extraordinary advances in molecular genetic techniques and the accumulation of structural genomics information and resources in both human and model organisms. With the development of new technologies and the availability of resources like the sequence of eukaryotic genomes, problems of a previously unthinkable scope are now being routinely solved in neuroscience and many other areas of biomedical research. The results of these studies, in turn, are having, and will continue to have, profound impact on experimental approaches and designs for manipulating genes, the genome, and model organisms as a means of gaining insights into nervous system functioning and complex behavior. Methods in Genomic Neuroscience provides newcomers and experienced researchers with a reference guide for applying powerful, state-of-the-art molecular genetic techniques to the study of neural and behavioral systems. It thereby provides a foundation by which data on gene expression and function may be used to develop new therapeutic strategies for brain diseases. Authored by researchers in the forefront of genomic neuroscience, the book addresses state-of-the-art tools and technologies for global analysis of genes influencing the nervous system and its disorders. An emphasis is placed on massively parallel approaches for analyzing the avalanche of data that is being generated from the full genomic sequence of humans and model systems. Specific topics include human sequence variation, methods for discovering disease vulnerability genes, gene-environmental interaction, gene expression analysis using DNA microarrays, random mutagenesis, gene trap approaches for studying brain development, neural stem cells, gene targeting, and gene delivery.

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