Last edited by Zuludal
Friday, July 31, 2020 | History

5 edition of Modeling in the neurosciences found in the catalog.

Modeling in the neurosciences

from ionic channels to neural networks

  • 177 Want to read
  • 34 Currently reading

Published by Harwood Academic Publishers in Amsterdam .
Written in English

    Subjects:
  • Neurons -- Computer simulation.,
  • Neurons -- Mathematical models.,
  • Neural networks (Neurobiology),
  • Computational neuroscience.,
  • Models, Neurological.,
  • Computer Simulation.,
  • Neurons -- physiology.,
  • Neurosciences -- methods.

  • Edition Notes

    Includes bibliographical references and index.

    Statementedited by Roman R. Poznanski.
    ContributionsPoznanski, Roman R.
    Classifications
    LC ClassificationsQP363 .M575 1999
    The Physical Object
    Paginationxiii, 536 p., [3] p. of plates :
    Number of Pages536
    ID Numbers
    Open LibraryOL3629758M
    ISBN 109057022842
    LC Control Number2002421310
    OCLC/WorldCa41152533

    Roman R. Poznanski is the author of Biophysics of Consciousness ( avg rating, 0 ratings, 0 reviews), Biophysics of Consciousness ( avg rating, 0 ra 5/5(1). 7. Theories of Motivation in Neurosciences. 8. Language Modeling. 9. Computational Modeling of Motivation. Hypothesis and Control of Cognitive Self-Motivation. A Model of Self-Motivation which Associates Language and Physiology. Impact of Self-Motivation on Written Information. Non-Transversal Text Mining Techniques.

    Principles of Computational Modelling in Neuroscience 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 andFile Size: 2MB. Methods in Neurosciences, Volume 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.

    For three decades, The Neurosciences Institute has developed a theoretical approach called synthetic neural modeling, where large-scale computer simulations of nervous systems based on realistic approximations of anatomical and physiological data are used to learn about the brain. al., ). Also in the modeling domain, Niv and colleagues have suggested an elaboration of the temporal-difference model in which overall dopaminergic tone controls behavioral vigor while the phasic signals drive learning, consistent with these sorts of dissociations between pharmacological effects on motor and cogni-.


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Modeling in the neurosciences Download PDF EPUB FB2

This book introduces an integrative approach to modeling neurons and neuronal circuits that retains the integrity of the biological units at all hierarchical levels. With contributions from more than 40 renowned experts, Modeling in the Neurosciences, Second Edition is essential for those interested in constructing more structured and Manufacturer: CRC Press.

Neurotoxin Modeling of Brain Disorders — Life-long Outcomes in Behavioral Teratology (Current Topics in Behavioral Neurosciences Book 29) - Kindle edition by Kostrzewa, Richard M., Archer, Trevor.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Neurotoxin Modeling of Brain Manufacturer: Springer.

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With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative neiroscience.

Focusing on new mathematical and computer models, techniques and methods, this monograph represents a cohesive and comprehensive Cited by: It provides an introduction to realistic modeling methods at levels of complexity varying from molecular interactions to neural networks.

The book and CD-ROM combine to make Computational Neuroscience: Realistic Modeling for Experimentalists the complete package for understanding modeling techniques. Focusing on new mathematical and computer models, techniques and methods, this monograph represents a cohesive and comprehensive treatment of various aspects of the neurosciences from the biophysical, cellular, and network levels.

Introduction to modeling in the neurosciences--Ch. Statistical analysis of ionic channel current fluctuations-- Ch.

Physiological and statistical approaches to modeling of synaptic responses-. While researching last week’s post on the Best popular neuroscience books, I came upon many people asking. Which is the best neuroscience textbook.

Is there any consensus. I looked up the top neuroscience graduate programs in the U.S. and found syllabi from introductory neuroscience classes taught at these universities.

Here’s a couple tables summarizing the textbooks being. Time Series Modeling of Neuroscience Data shows how to efficiently analyze neuroscience data by the Wiener-Kalman-Akaike approach, in which dynamic models of all kinds, such as linear/nonlinear differential equation models and time series models, are used for whitening the temporally dependent time series in the framework of linear/nonlinear.

Research in neuroscience has come a long way since it was first hypothesized, in the early twentieth century, that dynamic changes in ion permeability underlie an event termed as action potential (Bernstein, ).Research along the same lines in the s by Hodgkin and Huxley elucidated the dependence of action potential on the permeability of potassium and sodium Author: Shivendra G.

Tewari, Manoj K. Gottipati, Vladimir Parpura. Neuroscience (or neurobiology) is the scientific study of the nervous system. It is a multidisciplinary branch of biology that combines physiology, anatomy, molecular biology, developmental biology, cytology, mathematical modeling, and psychology to understand the fundamental and emergent properties of neurons and neural circuits.

The understanding of the. Editors Michael S. Gazzaniga Michael S. Gazzaniga is Professor of Psychological and Brain Sciences and Director of the SAGE Center for the Study of the Mind at the University of California, Santa Barbara, Codirector of the Kavli Summer Institute in Cognitive Neuroscience, and editor or coeditor of the five previous editions of The Cognitive Neurosciences (all published by the MIT.

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, 5/5(1).

Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to dimensional) and fMRI (, dimensional) data. To analyze such massive data, efficient computational and statistical methods are required.

Time Series Modeling of Neuroscience. The book covers nonlinear physical problems and mathematical modeling, including molecular biology, genetics, neurosciences, artificial intelligence with classical problems in mechanics and astronomy and physics. Find many great new & used options and get the best deals for Current Topics in Behavioral Neurosciences: Neurotoxin Modeling of Brain Disorders: Life-Long Outcomes in Behavioral Teratology 29 (, Hardcover) at the best online prices at.

Despite the increasing scientific interest in model-based cognitive neuroscience, few active researchers and even fewer students have a good knowledge of the two constituent disciplines.

The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.

In theory, computational. This book is a detailed overview of the computational modeling of nervous systems from the molecular and cellular level and from the standpoint of human psychophysics and psychology. They divide their conception of modeling into descriptive, mechanistic, and interpretive models/5(29).

neuroscience definition: 1. the scientific study of the nervous system and the brain: 2. the scientific study of the. Learn more. Computational Neuroscience and Cognitive Modelling. A Student's Introduction to Methods and Procedures vectors, matrices, Bayes’ rule, and Boolean logic, this book just might be the therapy needed." - Anjan Chatterjee, Professor of Neurology, University of Pennsylvania to applied computational neuroscience and cognitive modeling.State of the art in modelling, simulation and optimization of biped walking; Well structured book presenting a hot interdisciplinary research topic involving Robotics, Biomechanics, Physiology, Orthopedics, Psychology, Neurosciences, Sport, Computer Graphics and Applied Mathematics.Neuroscience: the Science of the Brain.

Inside our heads, weighing about kg, is an astonishing living organ consisting of billions of tiny cells. It enables us to sense the world around us, to think and to talk. The human brain is the most complex organ of the body, and arguably the most complex thing on Size: 4MB.