Product Description
Assuming no previous knowledge of computer programming or numerical methods, The NEURON Book provides practical advice on how to get the most out of the NEURON software program. Although written primarily for neuroscientists, teachers and students, readers with a background in the physical sciences or mathematics and some knowledge about brain cells and circuits, will also find it helpful. Covering details of NEURON's inner workings, and practical considerations specifying anatomical and biophysical properties to be represented in models, this book uses a problem-solving approach that includes many examples to challenge readers.

CUSTOMER REVIEWS (Average Customer Rating: 4.0 based on 1 review)

New and Powerful by Joseph C. Aulenbrock (Torrance, CA United States)

4 Stars
April 23, 2007
This book opens up new possibilities. It includes a basically simple Graphical User Interface (GUI) that can be used in Microsoft Windows (and in fact uses it for the examples). I rate it with 4 stars instead of 5, because the instructions in the examples are for those experienced with NEURON. For beginners like myself, it would help to say which buttons should be clicked and which keys pressed. This book describes the NEURON simulation system, which can be accessed for installation and instructions at the NEURON web site. Simulation implies using the realistic Hodgkin-Huxley neuron. NEURON was initially for individual neurons, but it has now been extended to networks. For those who believe in the classical physical science of the 19th century, including physics, chemistry, thermodynamics, and the differential equations in which they are expressed, NEURON has a special meaning. The Hodgkin-Huxley neuron extended classical physical science to a wide range of neuron types and species. The reductionist work of Eric Kandel explained many types of synapses at the molecular level, and therefore explains the connection of neurons in a network in terms of classical physical science. Our special interest is in networks of interneurons. The most accessible mammalian networks are those in the olfactory bulb of the rat. For this special class, classical physical science, using NEURON, extends into neurobiology. It DEFINES a physically possible network structure. It is likely that evolution will have exploited at least part of this structure to extend order. This possibility is there. It is real. And it is begging for study. This work will not require a supercomputer. From the deterministic point of view of classical physical science, there is no magic in statistically large numbers of cells. Two dozen or less should be enough to display emerging order.

SIMILAR PRODUCTS

	Neurons In Action 2: Tutorials and Simulations using NEURON by John W. Moore; Anne E. Stuart (Author) Neurons in Action 2 is the second version of a unique CD-ROM-based learning tool that combines hyperlinked text with NEURON simulations of laboratory experiments in neurophysiology. Version 2 features nine new tutorials introducing new channel types, single channel simulations, and a redesigned interface. Neurons in Action's moving graphs provide insight into nerve function that is simply not possible with conventional, static text and figure presentations. Students discover how ...
	Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems by Peter Dayan (Author), L. F. Abbott (Author) Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory. The book is divided into three parts. Part I discusses the...
	Ion Channels of Excitable Membranes (3rd Edition) by Bertil Hille (Author) Ion channels underlie a broad range of the most basic biological processes, from excitation and signaling to secretion and absorption. Like enzymes, they are diverse and ubiquitous macromolecular catalysts with high substrate specificity and subject to strong regulation. This fully revised and expanded Third Edition of Ion Channels of Excitable Membranes describes the known channels and their physiological functions, then develops the conceptual background needed to understand their...
	Biophysics of Computation: Information Processing in Single Neurons (Computational Neuroscience) by Christof Koch (Author) Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows...
	Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience) by Eugene M. Izhikevich (Author) 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...