Download or read book The Annotated Hodgkin and Huxley written by Indira M. Raman and published by Princeton University Press. This book was released on 2022-01-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first annotated edition of the scientific papers that created the foundation of modern neuroscience and physiology The origin of everything known about how neurons and muscles generate electrical signals can be traced back to five revolutionary papers, published in the Journal of Physiology in 1952 by Alan Hodgkin and Andrew Huxley. The principles they revealed remain cornerstones of the discipline, summarized in every introductory neuroscience and physiology course. Since that era, however, scientific practice, technology, and presentation have changed extensively. It is difficult for the modern reader to appreciate Hodgkin and Huxley’s rigorous scientific thought, elegant experimental design, ingenious analysis, and beautiful writing. This book provides the first annotated edition of these papers, offering essential background on everything, from terminology, equations, and electronics, to the greater historical and scientific context surrounding the work. The original journal pages are displayed opposite detailed notes explaining content, process, and background, with copies of the figures replotted according to modern conventions. Indispensable for scientists, teachers, and trainees alike, The Annotated Hodgkin and Huxley makes an essential body of knowledge—and an unparalleled approach to research—accessible to a new generation of readers. Reproduces the original articles paired with extensive annotations on facing pages Replots figures with modern conventions of data display Explains the development of the voltage clamp and the discovery of ionic currents and action potential generation, foundational to the study of neuroscience and physiology Summarizes the history of electrophysiology leading to Hodgkin and Huxley’s work Includes appendices on relevant concepts from mathematics, physics, electronics, chemical kinetics, and numerical methods
Download or read book Foundations of Cellular Neurophysiology written by Daniel Johnston and published by MIT Press. This book was released on 1994-11-02 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: with simulations and illustrations by Richard Gray Problem solving is an indispensable part of learning a quantitative science such as neurophysiology. This text for graduate and advanced undergraduate students in neuroscience, physiology, biophysics, and computational neuroscience provides comprehensive, mathematically sophisticated descriptions of modern principles of cellular neurophysiology. It is the only neurophysiology text that gives detailed derivations of equations, worked examples, and homework problem sets (with complete answers). Developed from notes for the course that the authors have taught since 1983, Foundations of Cellular Neurophysiology covers cellular neurophysiology (also some material at the molecular and systems levels) from its physical and mathematical foundations in a way that is far more rigorous than other commonly used texts in this area.
Download or read book Encyclopedia of Computational Neuroscience written by Dieter Jaeger and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Image Processing Using Pulse Coupled Neural Networks written by Thomas Lindblad and published by Springer Science & Business Media. This book was released on 2005-08-02 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Weitere Angaben Verfasser: Thomas Lindblad is a professor at the Royal Institute of Technology (Physics) in Stockholm. Working and teaching nuclear and environmental physics his main interest is with sensors, signal processing and intelligent data analysis of torrent data from experiments on-line accelerators, in space, etc. Jason Kinser is an associate professor at George Mason University. He has developed a plethora of image processing applications in the medical, military, and industrial fields. He has been responsible for the conversion of PCNN theory into practical applications providing many improvements in both speed and performance
Download or read book Case Studies in Neural Data Analysis written by Mark A. Kramer and published by MIT Press. This book was released on 2016-11-04 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to neural data analysis techniques that presents sample datasets and hands-on methods for analyzing the data. As neural data becomes increasingly complex, neuroscientists now require skills in computer programming, statistics, and data analysis. This book teaches practical neural data analysis techniques by presenting example datasets and developing techniques and tools for analyzing them. Each chapter begins with a specific example of neural data, which motivates mathematical and statistical analysis methods that are then applied to the data. This practical, hands-on approach is unique among data analysis textbooks and guides, and equips the reader with the tools necessary for real-world neural data analysis. The book begins with an introduction to MATLAB, the most common programming platform in neuroscience, which is used in the book. (Readers familiar with MATLAB can skip this chapter and might decide to focus on data type or method type.) The book goes on to cover neural field data and spike train data, spectral analysis, generalized linear models, coherence, and cross-frequency coupling. Each chapter offers a stand-alone case study that can be used separately as part of a targeted investigation. The book includes some mathematical discussion but does not focus on mathematical or statistical theory, emphasizing the practical instead. References are included for readers who want to explore the theoretical more deeply. The data and accompanying MATLAB code are freely available on the authors' website. The book can be used for upper-level undergraduate or graduate courses or as a professional reference. A version of this textbook with all of the examples in Python is available on the MIT Press website.
Download or read book A History of the Brain written by Andrew P. Wickens and published by Psychology Press. This book was released on 2014-12-08 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: A History of the Brain tells the full story of neuroscience, from antiquity to the present day. It describes how we have come to understand the biological nature of the brain, beginning in prehistoric times, and progressing to the twentieth century with the development of Modern Neuroscience. This is the first time a history of the brain has been written in a narrative way, emphasizing how our understanding of the brain and nervous system has developed over time, with the development of the disciplines of anatomy, pharmacology, physiology, psychology and neurosurgery. The book covers: beliefs about the brain in ancient Egypt, Greece and Rome the Medieval period, Renaissance and Enlightenment the nineteenth century the most important advances in the twentieth century and future directions in neuroscience. The discoveries leading to the development of modern neuroscience gave rise to one of the most exciting and fascinating stories in the whole of science. Written for readers with no prior knowledge of the brain or history, the book will delight students, and will also be of great interest to researchers and lecturers with an interest in understanding how we have arrived at our present knowledge of the brain.
Download or read book Ionic Channels of Excitable Membranes written by Bertil Hille and published by Sinauer Associates, Incorporated. This book was released on 1992 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new, fully revised and expanded edition of Ionic Channels of Excitable Membranes includes new chapters on fast chemical synapses, modulation through G protein coupled receptors and second messenger systems, molecules cloning, site directed mutagenesis, and cell biology. It begins with the classical biophysical work of Hodgkin and Huxley and then weaves a description of the known ionic channels together with their biological functions. The book continues by developing the physical and molecular principles needed for explaining permeation, gating, pharmacological modification, and molecular diversity, and ends with a discussion of channel evolution. Ionic Channels of Excitable Membranes is written to be accessible and interesting to biological and physical scientists of all kinds.
Download or read book Fundamentals of Computational Neuroscience written by Thomas Trappenberg and published by Oxford University Press. This book was released on 2010 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.
Download or read book The NEURON Book written by Nicholas T. Carnevale and published by Cambridge University Press. This book was released on 2006-01-12 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authoritative reference on NEURON, the simulation environment for modeling biological neurons and neural networks that enjoys wide use in the experimental and computational neuroscience communities. This book shows how to use NEURON to construct and apply empirically based models. Written primarily for neuroscience investigators, teachers, and students, it assumes no previous knowledge of computer programming or numerical methods. Readers with a background in the physical sciences or mathematics, who have some knowledge about brain cells and circuits and are interested in computational modeling, will also find it helpful. The NEURON Book covers material that ranges from the inner workings of this program, to practical considerations involved in specifying the anatomical and biophysical properties that are to be represented in models. It uses a problem-solving approach, with many working examples that readers can try for themselves.
Download or read book Genome Chaos written by Henry H. Heng and published by Academic Press. This book was released on 2019-05-25 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genome Chaos: Rethinking Genetics, Evolution, and Molecular Medicine transports readers from Mendelian Genetics to 4D-genomics, building a case for genes and genomes as distinct biological entities, and positing that the genome, rather than individual genes, defines system inheritance and represents a clear unit of selection for macro-evolution. In authoring this thought-provoking text, Dr. Heng invigorates fresh discussions in genome theory and helps readers reevaluate their current understanding of human genetics, evolution, and new pathways for advancing molecular and precision medicine. Bridges basic research and clinical application and provides a foundation for re-examining the results of large-scale omics studies and advancing molecular medicine Gathers the most pressing questions in genomic and cytogenomic research Offers alternative explanations to timely puzzles in the field Contains eight evidence-based chapters that discuss 4d-genomics, genes and genomes as distinct biological entities, genome chaos and macro-cellular evolution, evolutionary cytogenetics and cancer, chromosomal coding and fuzzy inheritance, and more
Download or read book Hard to Break written by Russell A. Poldrack and published by Princeton University Press. This book was released on 2021-05-04 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Well-publicized research in psychology tells us that over half of our attempts to change habitual behavior fail within one year. Even without reading the research, most of us will intuitively sense the truth in this, as we have all tried and failed to rid ourselves of one bad habit or another. The human story of habits and the difficulty of change has been told in many books--most of which will make only a quick reference to dopamine or the 'lizard brain' before moving on to practical tips and tricks for behavior change. In contrast, [this book] will tell the brain's story about why behavior is so hard to change"--
Download or read book Mathematical Analysis of Evolution Information and Complexity written by Wolfgang Arendt and published by John Wiley & Sons. This book was released on 2009-07-10 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Analysis of Evolution, Information, and Complexity deals with the analysis of evolution, information and complexity. The time evolution of systems or processes is a central question in science, this text covers a broad range of problems including diffusion processes, neuronal networks, quantum theory and cosmology. Bringing together a wide collection of research in mathematics, information theory, physics and other scientific and technical areas, this new title offers elementary and thus easily accessible introductions to the various fields of research addressed in the book.
Download or read book A Century of Artists Books written by Riva Castleman and published by ABRAMS. This book was released on 1997-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Published to accompany the 1994 exhibition at The Museum of Modern Art, New York, this book constitutes the most extensive survey of modern illustrated books to be offered in many years. Work by artists from Pierre Bonnard to Barbara Kruger and writers from Guillaume Apollinarie to Susan Sontag. An importnt reference for collectors and connoisseurs. Includes notable works by Marc Chagall, Henri Matisse, and Pablo Picasso.
Download or read book Mathematical Modelling in Biomedicine written by Vitaly Volpert and published by MDPI. This book was released on 2021-01-26 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical modelling in biomedicine is a rapidly developing scientific discipline at the intersection of medicine, biology, mathematics, physics, and computer science. Its progress is stimulated by fundamental scientific questions and by the applications to public health. This book represents a collection of papers devoted to mathematical modelling of various physiological problems in normal and pathological conditions. It covers a broad range of topics including cardiovascular system and diseases, heart and brain modelling, tumor growth, viral infections, and immune response. Computational models of blood circulation are used to study the influence of heart arrhythmias on coronary blood flow and on operating modes for left-ventricle-assisted devices. Wave propagation in the cardiac tissue is investigated in order to show the influence of tissue heterogeneity and fibrosis. The models of tumor growth are used to determine optimal protocols of antiangiogenic and radiotherapy. The models of viral hepatitis kinetics are considered for the parameter identification, and the evolution of viral quasi-species is investigated. The book presents the state-of-the-art in mathematical modelling in biomedicine and opens new perspectives in this passionate field of research.
Download or read book The Annotated and Illustrated Double Helix written by James D. Watson and published by Simon and Schuster. This book was released on 2012-11-06 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: On the fiftieth anniversary of Watson and Crick receiving the Nobel Prize, a freshly annotated and illustrated edition of The Double Helix provides new insights into a scientific revolution. Published to mark the fiftieth anniversary of the Nobel Prize for Watson and Crick’s discovery of the structure of DNA, an annotated and illustrated edition of this classic book gives new insights into the personal relationships between James Watson, Frances Crick, Maurice Wilkins, and Rosalind Franklin, and the making of a scientific revolution.
Download or read book The Self Assembling Brain written by Peter Robin Hiesinger and published by Princeton University Press. This book was released on 2022-12-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--
Download or read book The Neural Simulation Language written by Alfredo Weitzenfeld and published by MIT Press. This book was released on 2002 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation in NSL - Modeling in NSL - Schematic Capture System - User Interface and Graphical Windows - The Modeling Language NSLM - The Scripting Language NSLS - Adaptive Resonance Theory - Depth Perception - Retina - Receptive Fields - The Associative Search Network: Landmark Learning and Hill Climbing - A Model of Primate Visual-Motor Conditional Learning - The Modular Design of the Oculomotor System in Monkeys - Crowley-Arbib Saccade Model - A Cerebellar Model of Sensorimotor Adaptation - Learning to Detour - Face Recognition by Dynamic Link Matching - Appendix I : NSLM Methods - NSLJ Extensions - NSLC Extensions - NSLJ and NSLC Differences - NSLJ and NSLC Installation Instructions.
