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Computers And Computations In The Neurosciences

Author : P. Michael Conn
ISBN : 9781483259512
Genre : Technology & Engineering
File Size : 58.29 MB
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Methods in Neurosciences, Volume 10: Computers and Computations in the Neurosciences discusses the use of computers in the neurosciences. The book deals with data collection, analysis, and modeling, with emphasis on the use of computers. Section I involves data collection using a personal microcomputer system. One paper presents a tutorial on using a PC-based motor control composed of an electronic circuit to adjust the motion of a light microscope stage through a software program. Other papers discuss computer methods in nuclei cartography and a computer-assisted quantitative receptor autoradiography in studying receptor density distribution. Section II deals with data analysis and some computer programs for kinetic modeling of gene expression in neurons. The book also discusses a computerized analysis of opioid receptor heterogeneity by ligand binding in test animals using computerized programs instead of employing manual or graphical methods. Computerized curve-fitting allows the researcher to utilize a more precise mathematical model to describe the binding of one ligand to one class of sites. Section III evaluates data modeling and simulations and describes the practicality of using computers to design model ion channels. Another paper discusses a graphical interaction program called MEMPOT to simulate an electrophysiological investigation of the properties of the membrane potential in stimulated cells. The book also presents a quantitative data gathered from computer simulation of the factors that affect neuronal density per measured sections. The book is suitable for microbiologists, biochemists, neuroscientists, and researchers in the field of medical research, as well as for advanced computer programmers in medical research work.
Category: Technology & Engineering

Computational Neuroscience For Advancing Artificial Intelligence Models Methods And Applications

Author : Alonso, Eduardo
ISBN : 9781609600235
Genre : Computers
File Size : 78.69 MB
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"This book argues that computational models in behavioral neuroscience must be taken with caution, and advocates for the study of mathematical models of existing theories as complementary to neuro-psychological models and computational models"--
Category: Computers

Methods In Neurobiology

Author : Robert Lahue
ISBN : 9781468438062
Genre : Medical
File Size : 39.30 MB
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Rapid advances in knowledge have led to an increasing interest in neuro biology over the last several years. These advances have been made possible, at least in part, by the use of increasingly sophisticated methodology. Furthermore, research in the most rapidly advancing areas is essentially multidisciplinary and is characterized by contributions from many investi gators employing a variety of techniques. While a grasp of fundamental neurobiological concepts is an obvious prerequisite for those who wish to follow or participate in this field, critical awareness and evaluation of neurobiological research also requires an understanding of sophisticated methodologies. The objective of Methods in Neurobiology is the development of such critical abilities. The reader is exposed to the basic concepts, principles, and instrumentation of key methodologies, and the application of each meth odology is placed in the special context of neurobiological research. The reader will gain familiarity with the terminology and procedures of each method and the ability to evaluate results in light of the particular features of neurobiological preparations and applications.
Category: Medical

Computational Neuroscience

Author : Erik De Schutter
ISBN : 0444513833
Genre : Computers
File Size : 60.70 MB
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This volume includes papers originally presented at the 11th annual Computational Neuroscience Meeting (CNS 02) held in July 2002 at the Congress Plaza Hotel & Convention Center in Chicago, Illinois, USA. The CNS meetings bring together computational neuroscientists representing many different fields and backgrounds as well as many different experimental preparations and theoretical approaches. The papers published here range from pure experimental neurobiology, to neuro-ethology, mathematics, physics, and engineering. In all cases the research described is focused on understanding how nervous systems compute. The actual subjects of the research include a highly diverse number of preparations, modeling approaches and analysis techniques. Accordingly, this volume reflects the breadth and depth of current research in computational neuroscience taking place throughout the world.
Category: Computers

From Computer To Brain

Author : William W. Lytton
ISBN : 0387955267
Genre : Mathematics
File Size : 81.89 MB
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Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.
Category: Mathematics

Computational Neuroscience In Epilepsy

Author : Ivan Soltesz
ISBN : 0080559530
Genre : Science
File Size : 63.41 MB
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Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures Contributors are top experts at the forefront of computational epilepsy research Chapter contents are highly relevant to both basic and clinical epilepsy researchers
Category: Science

Mathematical Foundations Of Neuroscience

Author : G. Bard Ermentrout
ISBN : 9780387877075
Genre : Mathematics
File Size : 63.82 MB
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Arising from several courses taught by the authors, this book provides a needed overview illustrating how dynamical systems and computational analysis have been used in understanding the types of models that come out of neuroscience.
Category: Mathematics

Principles Of Computational Modelling In Neuroscience

Author : David Sterratt
ISBN : 9781139500791
Genre : Medical
File Size : 24.92 MB
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The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience.
Category: Medical