The Annotated Hodgkin And Huxley

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

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.

Alan Hodgkin believes that - contrary to popular conviction - chance plays quite as large a role as design in scientific discovery. This engaging autobiography charts the balance of the two in his own life. Beginning starts with an account of his childhood in an extended Quaker family. Not a great success at school, he nevertheless won a scholarship to Trinity College, Cambridge, and he writes informatively of the climate of university opinion in the thirties when he was an undergraduate and came to abandon the pacifist ideals of his upbringing. A chance observation on frog nerve led to a Trinity Fellowship and a year at the Rockefeller Institute in New York (where he met his future wife), to the Nobel Prize in 1963, and ultimately to the Presidency of the Royal Society. His experiments on nerve conduction seemed almost at the point of success when everything had to be abandoned on the outbreak of war in 1939, and for six years Hodgkin worked on the concept and design of airborne radar, described in the central section of the book as Flight Trials and Tribulations. The account of his return to civilian life and the resumption of experimentation includes two chapters of solid detail of Starting Again - for this is a book for any reader interested in the origin and development of a dedicated scientist.

The starkly different ways that American and French online news companies respond to audience analytics and what this means for the future of news When the news moved online, journalists suddenly learned what their audiences actually liked, through algorithmic technologies that scrutinize web traffic and activity. Has this advent of audience metrics changed journalists’ work practices and professional identities? In Metrics at Work, Angèle Christin documents the ways that journalists grapple with audience data in the form of clicks, and analyzes how new forms of clickbait journalism travel across national borders. Drawing on four years of fieldwork in web newsrooms in the United States and France, including more than one hundred interviews with journalists, Christin reveals many similarities among the media groups examined—their editorial goals, technological tools, and even office furniture. Yet she uncovers crucial and paradoxical differences in how American and French journalists understand audience analytics and how these affect the news produced in each country. American journalists routinely disregard traffic numbers and primarily rely on the opinion of their peers to define journalistic quality. Meanwhile, French journalists fixate on internet traffic and view these numbers as a sign of their resonance in the public sphere. Christin offers cultural and historical explanations for these disparities, arguing that distinct journalistic traditions structure how journalists make sense of digital measurements in the two countries. Contrary to the popular belief that analytics and algorithms are globally homogenizing forces, Metrics at Work shows that computational technologies can have surprisingly divergent ramifications for work and organizations worldwide.

* 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

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.

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.

Portions of this book were first published in The Atlantic monthly.