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Guide to Research Techniques in Neuroscience

Author: Matt Carter

Publisher: Academic Press

Published: 2022-03-26

Total Pages: 416

ISBN-13: 0323915612

Modern neuroscience research is inherently multidisciplinary, with a wide variety of cutting edge new techniques to explore multiple levels of investigation. This Third Edition of Guide to Research Techniques in Neuroscience provides a comprehensive overview of classical and cutting edge methods including their utility, limitations, and how data are presented in the literature. This book can be used as an introduction to neuroscience techniques for anyone new to the field or as a reference for any neuroscientist while reading papers or attending talks. Nearly 200 updated full-color illustrations to clearly convey the theory and practice of neuroscience methods Expands on techniques from previous editions and covers many new techniques including in vivo calcium imaging, fiber photometry, RNA-Seq, brain spheroids, CRISPR-Cas9 genome editing, and more Clear, straightforward explanations of each technique for anyone new to the field A broad scope of methods, from noninvasive brain imaging in human subjects, to electrophysiology in animal models, to recombinant DNA technology in test tubes, to transfection of neurons in cell culture Detailed recommendations on where to find protocols and other resources for specific techniques "Walk-through" boxes that guide readers through experiments step-by-step

Current Laboratory Methods in Neuroscience Research

Author: Huangui Xiong

Publisher: Springer

Published: 2016-08-24

Total Pages: 0

ISBN-13: 9781493952168

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Current Laboratory Methods in Neuroscience Research is a research manual for both students and seasoned researchers. It focuses on commonly-used techniques employed in neuroscience research, presented in a simple, step-by-step manner for laboratory use. The manual also offers a “blueprint” for bench-to-bedside research designed to facilitate multidisciplinary neuroscience pursuits. Sections include coverage of neurohistological techniques, in vitro preparations, leukocyte isolation and application in neuroscience, standard laboratory nucleic acid and protein detections, nanomedicine, bioimaging, neuroelectrophysiology, immunohistochemistry and autoradiography, analysis of gene expression, and animal models.

Quantitative Neuroendocrinology

Author:

Publisher: Elsevier

Published: 1995-10-16

Total Pages: 449

ISBN-13: 0080536476

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In this volume contemporary methods designed to provide insights into, mathematical structure for, and predictive inferences about neuroendocrine control mechanisms are presented. Collates an array of contemporary techniques for analysis of neuroendocrine data Discusses current problems in and solutions to neurohormone pulse analysis Identifies relevant software available

PCR in Neuroscience

Author:

Publisher: Elsevier

Published: 1995-04-13

Total Pages: 475

ISBN-13: 008053645X

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The volumes in this series include contemporary techniques significant to a particular branch of neuroscience. They are an invaluable aid to the student as well as the experienced researcher not only in developing protocols in neuroscience but in disciplines where research is becoming closely related to neuroscience. Each volume of Methods in Neurosciences contains an index, and each chapter includes references. Dr. Conn became Editor-in-Chief of the series beginning with Volume 15, so each subsequent volume could be guest-edited by an expert in that specific field. This further strengthens the depth of coverage in Methods in Neurosciences for students and researchers alike. Direct application of PCR to fresh or frozen clinical specimens (e.g., blood and solid tissue) Complete retrieval of novel expressed genes by PCR without screening a library Quantitation by PCR Mutagenesis by PCR PCR in AIDS research Simple and effective protocols for PCR on archival specimens

Stochastic Methods in Neuroscience

Author: Carlo Laing

Publisher: Oxford University Press

Published: 2010

Total Pages: 399

ISBN-13: 0199235074

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Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are leading to biophysically more realistic models. It has also become clear that both neuroscientists and mathematicians profit from collaborations in this exciting research area.Graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in the modelling and analysis of noisy neural systems, will benefit from this comprehensive overview. The series of self-contained chapters, each written by experts in their field, covers key topics such as: Markov chain models for ion channel release; stochastically forced single neurons and populations of neurons; statistical methods for parameterestimation; and the numerical approximation of these stochastic models.Each chapter gives an overview of a particular topic, including its history, important results in the area, and future challenges, and the text comes complete with a jargon-busting index of acronyms to allow readers to familiarize themselves with the language used.

Methods in Social Neuroscience

Author: Eddie Harmon-Jones

Publisher: Guilford Press

Published: 2012-05-09

Total Pages: 371

ISBN-13: 1462506275

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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.

Modern Techniques in Neuroscience Research

Author: Uwe Windhorst

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 1336

ISBN-13: 3642585523

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An overview of the techniques used in modern neuroscience research with the emphasis on showing how different techniques can optimally be combined in the study of problems that arise at some levels of nervous system organization. This is essentially a working tool for the scientist in the laboratory and clinic, providing detailed step-by-step protocols with tips and recommendations. Most chapters and protocols are organized such that they can be used independently, while cross-references between the chapters, a glossary, a list of suppliers and appendices provide further help.

Electrochemical Methods for Neuroscience

Author: Adrian C. Michael

Publisher: CRC Press

Published: 2006-12-13

Total Pages: 540

ISBN-13: 1420005863

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Since the first implant of a carbon microelectrode in a rat 35 years ago, there have been substantial advances in the sensitivity, selectivity and temporal resolution of electrochemical techniques. Today, these methods provide neurochemical information that is not accessible by other means. The growing recognition of the versatility of electrochemi

Dynamical Systems in Neuroscience

Author: Eugene M. Izhikevich

Publisher: MIT Press

Published: 2010-01-22

Total Pages: 459

ISBN-13: 0262514206

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Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. In order to model neuronal behavior or to interpret the results of modeling studies, neuroscientists must call upon methods of nonlinear dynamics. This book offers an introduction to nonlinear dynamical systems theory for researchers and graduate students in neuroscience. It also provides an overview of neuroscience for mathematicians who want to learn the basic facts of electrophysiology. Dynamical Systems in Neuroscience presents a systematic study of the relationship of electrophysiology, nonlinear dynamics, and computational properties of neurons. It emphasizes that information processing in the brain depends not only on the electrophysiological properties of neurons but also on their dynamical properties. The book introduces dynamical systems, starting with one- and two-dimensional Hodgkin-Huxley-type models and continuing to a description of bursting systems. Each chapter proceeds from the simple to the complex, and provides sample problems at the end. The book explains all necessary mathematical concepts using geometrical intuition; it includes many figures and few equations, making it especially suitable for non-mathematicians. Each concept is presented in terms of both neuroscience and mathematics, providing a link between the two disciplines. Nonlinear dynamical systems theory is at the core of computational neuroscience research, but it is not a standard part of the graduate neuroscience curriculum—or taught by math or physics department in a way that is suitable for students of biology. This book offers neuroscience students and researchers a comprehensive account of concepts and methods increasingly used in computational neuroscience. An additional chapter on synchronization, with more advanced material, can be found at the author's website, www.izhikevich.com.

Cell Culture in the Neurosciences

Author: Jane Bottenstein

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 392

ISBN-13: 1461324734

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A fundamental problem in neuroscience is the elucidation of the cellular and molecular mechanisms underlying the development and function of the nervous system. The complexity of organization, the heteroge neity of cell types and their interactions, and the difficulty of controlling experimental variables in intact organisms make this a formidable task. Because of the ability that it affords to analyze smaller components of the nervous system (even single cells in some cases) and to better control experimental variables, cell culture has become an increasingly valuable tool for neuroscientists. Many aspects of neural development, such as proliferation, differentiation, synaptogenesis, and myelination, occur in culture with time courses remarkably similar to those in vivo. Thus, in vitro methods often provide excellent model systems for investigating neurobiological questions. Ross Harrison described the first culture of neural tissue in 1907 and used morphological methods to analyze the cultures. Since that time the technique has been progressively modified and used to address an ever widening range of developmental questions. In recent years a con vergence of new or improved cell culture, biochemical, electrophysiol ogical, and immunological methods has occurred and been brought to bear on neurobiological questions. This volume is intended not to be comprehensive but rather to highlight some of the latest findings, with a review of previous important work as well, in which combinations of these methods are used.