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This manual and disk, available in IBM PC and Macintosh formats, accompanies Shepherd's Neurobiology, 3/e. It can be used separately even though it is keyed to the textbook. The 17 experiments investigate such areas as the resting membrane potential, action potential, voltage clamp, physiological properties of nerve cells, and synaptic potentials. The program allows students to propagate the action potential, adjust various parameters and observe the effects on nerve cell firing. Students will learn about equilibrium potentials and the effects of changing ion concentrations, as well as passive and active membrane properties. Separate experiments analyze sodium ion and potassium ion currents, the voltage dependence of these currents, and sleep vs. waking in single neurons. Study questions are provided throughout. This ingeniously-designed program will benefit all undergraduate students of neuroscience.
Electrophysiology Measurements for Studying Neural Interfaces helps readers to choose a proper cell line and set-up for studying different bio-electronic interfaces before delving into the electrophysiology techniques available. Therefore, this book details the materials and devices needed for different types of neural stimulation such as photoelectrical and photothermal stimulations. Also, modern techniques like optical electrophysiology and calcium imaging in this book provides readers with more available approaches to monitor neural activities in addition to whole-cell patch-clamp technology. - Details steps of an electrophysiology project from start to finish for graduate students employing the technique in their research - Includes sample electrophysiological studies with multiple cell lines (PC12, N2a, NG108, SHSY, and embryonic stem cell lines) to facilitate research - Features data analysis of electrophysiology results from various relevant experiments and cell culture tips
Basic Electrophysiological Methods provides a concise and easy-to-read guide on a selection of the most important contemporary electrophysiological techniques, their implementation, applications, and ways in which they can be combined and integrated with neuroscientific techniques. Intended for students, postdocs, and faculty with a basic neuroscience background, this text will not obscure the relevant technical details with textbook neuroscience tutorials as many other books do. Instead, each chapter provides a conscientious overview of the underlying theory -- a comprehensive description of equipment, materials, methods, data management, and analysis -- a troubleshooting guide, and a list of frequently asked questions. No book or online resource can function as strictly a DIY set of instructions on how to implement a complex technique. However, this book provides a fundamental and accessible set of information intended to form a foundation prior to, during, and after hands-on experience and training, greatly facilitating the initial learning process and subsequent fine-tuning of technical details.
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.
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
A multi-disciplinary look at the current state of knowledge regarding motor control and movement—from molecular biology to robotics The last two decades have seen a dramatic increase in the number of sophisticated tools and methodologies for exploring motor control and movement. Multi-unit recordings, molecular neurogenetics, computer simulation, and new scientific approaches for studying how muscles and body anatomy transform motor neuron activity into movement have helped revolutionize the field. Neurobiology of Motor Control brings together contributions from an interdisciplinary group of experts to provide a review of the current state of knowledge about the initiation and execution of movement, as well as the latest methods and tools for investigating them. The book ranges from the findings of basic scientists studying model organisms such as mollusks and Drosophila, to biomedical researchers investigating vertebrate motor production to neuroengineers working to develop robotic and smart prostheses technologies. Following foundational chapters on current molecular biological techniques, neuronal ensemble recording, and computer simulation, it explores a broad range of related topics, including the evolution of motor systems, directed targeted movements, plasticity and learning, and robotics. Explores motor control and movement in a wide variety of organisms, from simple invertebrates to human beings Offers concise summaries of motor control systems across a variety of animals and movement types Explores an array of tools and methodologies, including electrophysiological techniques, neurogenic and molecular techniques, large ensemble recordings, and computational methods Considers unresolved questions and how current scientific advances may be used to solve them going forward Written specifically to encourage interdisciplinary understanding and collaboration, and offering the most wide-ranging, timely, and comprehensive look at the science of motor control and movement currently available, Neurobiology of Motor Control is a must-read for all who study movement production and the neurobiological basis of movement—from molecular biologists to roboticists.
This book treats essentials from neurophysiology (Hodgkin–Huxley equations, synaptic transmission, prototype networks of neurons) and related mathematical concepts (dimensionality reductions, equilibria, bifurcations, limit cycles and phase plane analysis). This is subsequently applied in a clinical context, focusing on EEG generation, ischaemia, epilepsy and neurostimulation. The book is based on a graduate course taught by clinicians and mathematicians at the Institute of Technical Medicine at the University of Twente. Throughout the text, the author presents examples of neurological disorders in relation to applied mathematics to assist in disclosing various fundamental properties of the clinical reality at hand. Exercises are provided at the end of each chapter; answers are included. Basic knowledge of calculus, linear algebra, differential equations and familiarity with MATLAB or Python is assumed. Also, students should have some understanding of essentials of (clinical) neurophysiology, although most concepts are summarized in the first chapters. The audience includes advanced undergraduate or graduate students in Biomedical Engineering, Technical Medicine and Biology. Applied mathematicians may find pleasure in learning about the neurophysiology and clinic essentials applications. In addition, clinicians with an interest in dynamics of neural networks may find this book useful, too.
Covers all aspects of epilepsy, from basic mechanisms to diagnosis and management, as well as legal and social considerations.
Underlying principles of the various techniques are explained, enabling neuroscientists to extract meaningful information from their measurements.
Advances in Network Electrophysiology: Using Multi Electrode Arrays explores methods for using electrophysiological techniques for monitoring the concurrent activity of ensembles of single neurons. It reviews the recent progress in both electronics and computational tools developed to analyze the functional operations of large ensembles of neurons using multi-electrode arrays and in vitro preparations. In addition, it gives readers a sense of the applications made possible by these technological tools. This volume is the reference for researchers, industry, graduate students, and postdoctoral fellows in all areas of neuroscience, cognitive neuroscience, pharmaceutical science, and bioengineering.