The Annotated Hodgkin And Huxley

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The Annotated Hodgkin and Huxley

Author : Indira M. Raman
Publisher : Princeton University Press
ISBN 13 : 0691220654
Total Pages : 328 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis The Annotated Hodgkin and Huxley by : Indira M. Raman

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

The Annotated Hodgkin and Huxley

Author : Indira M. Raman
Publisher : Princeton University Press
ISBN 13 : 0691220638
Total Pages : 328 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis The Annotated Hodgkin and Huxley by : Indira M. Raman

Foundations of Cellular Neurophysiology

Author : Daniel Johnston
Publisher : MIT Press
ISBN 13 : 0262293498
Total Pages : 709 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis Foundations of Cellular Neurophysiology by : Daniel Johnston

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.

Case Studies in Neural Data Analysis

Author : Mark A. Kramer
Publisher : MIT Press
ISBN 13 : 0262529378
Total Pages : 385 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Case Studies in Neural Data Analysis by : Mark A. Kramer

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.

Image Processing Using Pulse-Coupled Neural Networks

Author : Thomas Lindblad
Publisher : Springer Science & Business Media
ISBN 13 : 9783540242185
Total Pages : 184 pages
Book Rating : 4.2/5 (421 download)

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Book Synopsis Image Processing Using Pulse-Coupled Neural Networks by : Thomas Lindblad

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

The Future of the Brain

Author : Gary Marcus
Publisher : Princeton University Press
ISBN 13 : 0691173311
Total Pages : 298 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis The Future of the Brain by : Gary Marcus

Download or read book The Future of the Brain written by Gary Marcus and published by Princeton University Press. This book was released on 2016-11-08 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world's top experts take readers to the very frontiers of brain science Includes a chapter by 2014 Nobel laureates May-Britt Moser and Edvard Moser An unprecedented look at the quest to unravel the mysteries of the human brain, The Future of the Brain takes readers to the absolute frontiers of science. Original essays by leading researchers such as Christof Koch, George Church, Olaf Sporns, and May-Britt and Edvard Moser describe the spectacular technological advances that will enable us to map the more than eighty-five billion neurons in the brain, as well as the challenges that lie ahead in understanding the anticipated deluge of data and the prospects for building working simulations of the human brain. A must-read for anyone trying to understand ambitious new research programs such as the Obama administration's BRAIN Initiative and the European Union's Human Brain Project, The Future of the Brain sheds light on the breathtaking implications of brain science for medicine, psychiatry, and even human consciousness itself. Contributors include: Misha Ahrens, Ned Block, Matteo Carandini, George Church, John Donoghue, Chris Eliasmith, Simon Fisher, Mike Hawrylycz, Sean Hill, Christof Koch, Leah Krubitzer, Michel Maharbiz, Kevin Mitchell, Edvard Moser, May-Britt Moser, David Poeppel, Krishna Shenoy, Olaf Sporns, Anthony Zador.

Fundamentals of Computational Neuroscience

Author : Thomas Trappenberg
Publisher : Oxford University Press
ISBN 13 : 0199568413
Total Pages : 417 pages
Book Rating : 4.1/5 (995 download)

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Book Synopsis Fundamentals of Computational Neuroscience by : Thomas Trappenberg

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.

A History of the Brain

Author : Andrew P. Wickens
Publisher : Psychology Press
ISBN 13 : 1317744837
Total Pages : 405 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis A History of the Brain by : Andrew P. Wickens

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.

Mathematical Modelling in Biomedicine

Author : Vitaly Volpert
Publisher : MDPI
ISBN 13 : 3039434934
Total Pages : 224 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Mathematical Modelling in Biomedicine by : Vitaly Volpert

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.

The NEURON Book

Author : Nicholas T. Carnevale
Publisher : Cambridge University Press
ISBN 13 : 1139447831
Total Pages : 399 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis The NEURON Book by : Nicholas T. Carnevale

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.

Spiking Neuron Models

Author : Wulfram Gerstner
Publisher : Cambridge University Press
ISBN 13 : 9780521890793
Total Pages : 498 pages
Book Rating : 4.8/5 (97 download)

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Book Synopsis Spiking Neuron Models by : Wulfram Gerstner

Download or read book Spiking Neuron Models written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2002-08-15 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed.

Hard to Break

Author : Russell A. Poldrack
Publisher : Princeton University Press
ISBN 13 : 0691194327
Total Pages : 230 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Hard to Break by : Russell A. Poldrack

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"--

Modeling and Simulating Cardiac Electrical Activity

Author : David J. Christini
Publisher :
ISBN 13 : 9780750320641
Total Pages : 0 pages
Book Rating : 4.3/5 (26 download)

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Book Synopsis Modeling and Simulating Cardiac Electrical Activity by : David J. Christini

Download or read book Modeling and Simulating Cardiac Electrical Activity written by David J. Christini and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough introduction to the topic of mathematical modeling of electrical activity in the heart, from molecular details of ionic channel dynamics to clinically derived patient-specific models. It discusses how cellular ionic models are formulated, introduces commonly used models and explains why there are so many different models available. The chapters cover modeling of the intracellular calcium handling that underlies cellular contraction as well as modeling molecular-level details of cardiac ion channels, and also focus on specialized topics such as cardiomyocyte energetics and signalling pathways. It is an excellent resource for experienced and specialised researchers in the field, but also biological scientists with a limited background in mathematical modelling and computational methods. Part of Biophysical Society-IOP series.

Mathematical Analysis of Evolution, Information, and Complexity

Author : Wolfgang Arendt
Publisher : John Wiley & Sons
ISBN 13 : 3527628037
Total Pages : 502 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Mathematical Analysis of Evolution, Information, and Complexity by : Wolfgang Arendt

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.

The Self-Assembling Brain

Author : Peter Robin Hiesinger
Publisher : Princeton University Press
ISBN 13 : 0691241694
Total Pages : 384 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis The Self-Assembling Brain by : Peter Robin Hiesinger

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"--

The Neural Simulation Language

Author : Alfredo Weitzenfeld
Publisher : MIT Press
ISBN 13 : 9780262731492
Total Pages : 466 pages
Book Rating : 4.7/5 (314 download)

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Book Synopsis The Neural Simulation Language by : Alfredo Weitzenfeld

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.

Nonlinear Dynamics in Complex Systems

Author : Armin Fuchs
Publisher : Springer Science & Business Media
ISBN 13 : 3642335527
Total Pages : 237 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Nonlinear Dynamics in Complex Systems by : Armin Fuchs

Download or read book Nonlinear Dynamics in Complex Systems written by Armin Fuchs and published by Springer Science & Business Media. This book was released on 2012-09-22 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: With many areas of science reaching across their boundaries and becoming more and more interdisciplinary, students and researchers in these fields are confronted with techniques and tools not covered by their particular education. Especially in the life- and neurosciences quantitative models based on nonlinear dynamics and complex systems are becoming as frequently implemented as traditional statistical analysis. Unfamiliarity with the terminology and rigorous mathematics may discourage many scientists to adopt these methods for their own work, even though such reluctance in most cases is not justified. This book bridges this gap by introducing the procedures and methods used for analyzing nonlinear dynamical systems. In Part I, the concepts of fixed points, phase space, stability and transitions, among others, are discussed in great detail and implemented on the basis of example elementary systems. Part II is devoted to specific, non-trivial applications: coordination of human limb movement (Haken-Kelso-Bunz model), self-organization and pattern formation in complex systems (Synergetics), and models of dynamical properties of neurons (Hodgkin-Huxley, Fitzhugh-Nagumo and Hindmarsh-Rose). Part III may serve as a refresher and companion of some mathematical basics that have been forgotten or were not covered in basic math courses. Finally, the appendix contains an explicit derivation and basic numerical methods together with some programming examples as well as solutions to the exercises provided at the end of certain chapters. Throughout this book all derivations are as detailed and explicit as possible, and everybody with some knowledge of calculus should be able to extract meaningful guidance follow and apply the methods of nonlinear dynamics to their own work. “This book is a masterful treatment, one might even say a gift, to the interdisciplinary scientist of the future.” “With the authoritative voice of a genuine practitioner, Fuchs is a master teacher of how to handle complex dynamical systems.” “What I find beautiful in this book is its clarity, the clear definition of terms, every step explained simply and systematically.” (J.A.Scott Kelso, excerpts from the foreword)