Stochastic Processes in the Neurosciences

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Publisher : SIAM
ISBN 13 : 9781611970159
Total Pages : 134 pages
Book Rating : 4.9/5 (71 download)

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Book Synopsis Stochastic Processes in the Neurosciences by : Henry C. Tuckwell

Download or read book Stochastic Processes in the Neurosciences written by Henry C. Tuckwell and published by SIAM. This book was released on 1989-01-01 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is centered on quantitative analysis of nerve-cell behavior. The work is foundational, with many higher order problems still remaining, especially in connection with neural networks. Thoroughly addressed topics include stochastic problems in neurobiology, and the treatment of the theory of related Markov processes.

The Noisy Brain

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Publisher :
ISBN 13 :
Total Pages : 334 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The Noisy Brain by : Edmund T. Rolls

Download or read book The Noisy Brain written by Edmund T. Rolls and published by . This book was released on 2010-01-28 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The activity of neurons in the brain is noisy in that the neuronal firing times are random for a given mean rate. The Noisy Brain shows that this is fundamental to understanding many aspects of brain function, including probabilistic decision-making, perception, memory recall, short-term memory, attention, and even creativity. There are many applications too of this understanding, to for example memory and attentional disorders, aging, schizophrenia, and obsessive-compulsive disorder.

Mathematics for Neuroscientists

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Publisher : Academic Press
ISBN 13 : 0128019069
Total Pages : 630 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Mathematics for Neuroscientists by : Fabrizio Gabbiani

Download or read book Mathematics for Neuroscientists written by Fabrizio Gabbiani and published by Academic Press. This book was released on 2017-02-04 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory. - Fully revised material and corrected text - Additional chapters on extracellular potentials, motion detection and neurovascular coupling - Revised selection of exercises with solutions - More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts

Physics Briefs

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Publisher :
ISBN 13 :
Total Pages : 888 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Physics Briefs by :

Download or read book Physics Briefs written by and published by . This book was released on 1979 with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt:

International Review of Neurobiology

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Publisher : Academic Press
ISBN 13 : 0080857620
Total Pages : 433 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis International Review of Neurobiology by :

Download or read book International Review of Neurobiology written by and published by Academic Press. This book was released on 1986-12-17 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: International Review of Neurobiology

Stochastic Methods in Neuroscience

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Publisher : Oxford University Press
ISBN 13 : 0199235074
Total Pages : 399 pages
Book Rating : 4.1/5 (992 download)

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Book Synopsis Stochastic Methods in Neuroscience by : Carlo Laing

Download or read book Stochastic Methods in Neuroscience written by Carlo Laing and published by Oxford University Press. This book was released on 2010 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Great interest is now being shown in computational and mathematical neuroscience, fuelled in part by the rise in computing power, the ability to record large amounts of neurophysiological data, and advances in stochastic analysis. These techniques are leading to biophysically more realistic models. It has also become clear that both neuroscientists and mathematicians profit from collaborations in this exciting research area.Graduates and researchers in computational neuroscience and stochastic systems, and neuroscientists seeking to learn more about recent advances in the modelling and analysis of noisy neural systems, will benefit from this comprehensive overview. The series of self-contained chapters, each written by experts in their field, covers key topics such as: Markov chain models for ion channel release; stochastically forced single neurons and populations of neurons; statistical methods for parameterestimation; and the numerical approximation of these stochastic models.Each chapter gives an overview of a particular topic, including its history, important results in the area, and future challenges, and the text comes complete with a jargon-busting index of acronyms to allow readers to familiarize themselves with the language used.

Resonances: Neurobiology, Evolution and Theology

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Publisher : Vandenhoeck & Ruprecht
ISBN 13 : 3647570362
Total Pages : 255 pages
Book Rating : 4.6/5 (475 download)

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Book Synopsis Resonances: Neurobiology, Evolution and Theology by : Markus Mühling

Download or read book Resonances: Neurobiology, Evolution and Theology written by Markus Mühling and published by Vandenhoeck & Ruprecht. This book was released on 2014-09-17 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markus Mühling presents an epistemological theory of revelation as perception and a relational-narrative theological ontology based on the concept of dramatic coherence, in which the triune life is understood not as an anomaly within ontology, but rather as the decisive condition of its possibility. Mühling further demonstrates that potential for resolving certain theological problems arises if new insights from the natural sciences, such as the theory of the ecological brain in the neurosciences and the theory of niche-construction in evolutionary theory, are taken into account. Similarly, he also proposes that neuroscience and evolutionary biology can procure advantages from a dialogue with theology.

Principles of Computational Modelling in Neuroscience

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Publisher : Cambridge University Press
ISBN 13 : 1108611834
Total Pages : 554 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Principles of Computational Modelling in Neuroscience by : David Sterratt

Download or read book Principles of Computational Modelling in Neuroscience written by David Sterratt and published by Cambridge University Press. This book was released on 2023-10-05 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a step-by-step and practical account of how to model neurons and neural circuitry, this textbook is designed for advanced undergraduate and postgraduate students of computational neuroscience as well as for researchers in neuroscience and related sciences wishing to apply computational approaches to interpret data and make predictions.

Directed Information Measures in Neuroscience

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Publisher : Springer
ISBN 13 : 3642544746
Total Pages : 234 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Directed Information Measures in Neuroscience by : Michael Wibral

Download or read book Directed Information Measures in Neuroscience written by Michael Wibral and published by Springer. This book was released on 2014-03-20 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain's slowly-changing anatomical connectivity. Measuring such transfer is crucial to understanding how flexible information routing and processing give rise to higher cognitive function. Directed Information Measures in Neuroscience reviews recent developments of concepts and tools for measuring information transfer, their application to neurophysiological recordings and analysis of interactions. Written by the most active researchers in the field the book discusses the state of the art, future prospects and challenges on the way to an efficient assessment of neuronal information transfer. Highlights include the theoretical quantification and practical estimation of information transfer, description of transfer locally in space and time, multivariate directed measures, information decomposition among a set of stimulus/responses variables and the relation between interventional and observational causality. Applications to neural data sets and pointers to open source software highlight the usefulness of these measures in experimental neuroscience. With state-of-the-art mathematical developments, computational techniques and applications to real data sets, this book will be of benefit to all graduate students and researchers interested in detecting and understanding the information transfer between components of complex systems.

Mathematical Methods in Biology and Neurobiology

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Publisher : Springer Science & Business Media
ISBN 13 : 1447163532
Total Pages : 233 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Mathematical Methods in Biology and Neurobiology by : Jürgen Jost

Download or read book Mathematical Methods in Biology and Neurobiology written by Jürgen Jost and published by Springer Science & Business Media. This book was released on 2014-02-13 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical models can be used to meet many of the challenges and opportunities offered by modern biology. The description of biological phenomena requires a range of mathematical theories. This is the case particularly for the emerging field of systems biology. Mathematical Methods in Biology and Neurobiology introduces and develops these mathematical structures and methods in a systematic manner. It studies: • discrete structures and graph theory • stochastic processes • dynamical systems and partial differential equations • optimization and the calculus of variations. The biological applications range from molecular to evolutionary and ecological levels, for example: • cellular reaction kinetics and gene regulation • biological pattern formation and chemotaxis • the biophysics and dynamics of neurons • the coding of information in neuronal systems • phylogenetic tree reconstruction • branching processes and population genetics • optimal resource allocation • sexual recombination • the interaction of species. Written by one of the most experienced and successful authors of advanced mathematical textbooks, this book stands apart for the wide range of mathematical tools that are featured. It will be useful for graduate students and researchers in mathematics and physics that want a comprehensive overview and a working knowledge of the mathematical tools that can be applied in biology. It will also be useful for biologists with some mathematical background that want to learn more about the mathematical methods available to deal with biological structures and data.

Macroneural Theories in Cognitive Neuroscience

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Publisher : Psychology Press
ISBN 13 : 1317392736
Total Pages : 214 pages
Book Rating : 4.3/5 (173 download)

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Book Synopsis Macroneural Theories in Cognitive Neuroscience by : William R. Uttal

Download or read book Macroneural Theories in Cognitive Neuroscience written by William R. Uttal and published by Psychology Press. This book was released on 2015-07-24 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, William R. Uttal continues his analysis and critique of theories of mind. This book considers theories that are based on macroneural responses (such as those obtained from fMRI) that represent the averaged or cumulative responses of many neurons. The analysis is carried out with special emphasis on the logical and conceptual difficulties in developing a theory but with special attention to some of the current attempts to go from these cumulative responses to explanations of the grand question of how the mind is generated by the brain. While acknowledging the importance of these macroneural techniques in the study of the anatomy and physiology of the brain, Uttal concludes that this macroneural approach is not likely to produce a valid neural theory of cognition because the critical information—the states of the individual neurons—involved in brain activity becoming mental activity is actually lost in the process of summation. Controversial topics are considered in detail including discussions of empirical, logical, and technological barriers to theory building in cognitive neuroscience.

Stem cell-derived retinal and brain organoid culture for disease modeling

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832549225
Total Pages : 153 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Stem cell-derived retinal and brain organoid culture for disease modeling by : Lin Cheng

Download or read book Stem cell-derived retinal and brain organoid culture for disease modeling written by Lin Cheng and published by Frontiers Media SA. This book was released on 2024-05-17 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Information Processing

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Publisher : Springer
ISBN 13 : 3540304991
Total Pages : 1397 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Neural Information Processing by : Nikil R. Pal

Download or read book Neural Information Processing written by Nikil R. Pal and published by Springer. This book was released on 2004-10-29 with total page 1397 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is our great pleasure to welcome you to the 11th International Conference on Neural Information Processing (ICONIP 2004) to be held in Calcutta. ICONIP 2004 is organized jointly by the Indian Statistical Institute (ISI) and Jadavpur University (JU). We are con?dent that ICONIP 2004, like the previous conf- ences in this series,will providea forum for fruitful interactionandthe exchange of ideas between the participants coming from all parts of the globe. ICONIP 2004 covers all major facets of computational intelligence, but, of course, with a primary emphasis on neural networks. We are sure that this meeting will be enjoyable academically and otherwise. We are thankful to the track chairs and the reviewers for extending their support in various forms to make a sound technical program. Except for a few cases, where we could get only two review reports, each submitted paper was reviewed by at least three referees, and in some cases the revised versions were againcheckedbythereferees. Wehad470submissionsanditwasnotaneasytask for us to select papers for a four-day conference. Because of the limited duration of the conference, based on the review reports we selected only about 40% of the contributed papers. Consequently, it is possible that some good papers are left out. We again express our sincere thanks to all referees for accomplishing a great job. In addition to 186 contributed papers, the proceedings includes two plenary presentations, four invited talks and 18 papers in four special sessions. The proceedings is organized into 26 coherent topical groups.

The Handbook of Brain Theory and Neural Networks

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Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Handbook of Brain Theory and Neural Networks by : Michael A. Arbib

Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Fractals in Biology and Medicine

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Publisher : Birkhäuser
ISBN 13 : 3034889364
Total Pages : 380 pages
Book Rating : 4.0/5 (348 download)

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Book Synopsis Fractals in Biology and Medicine by : G. Losa

Download or read book Fractals in Biology and Medicine written by G. Losa and published by Birkhäuser. This book was released on 2013-03-11 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Fractals in Biology and Medicine, Volume 2" explores the potential of the fractal geometry in understanding how to analyse natural shapes. The volume devotes special emphasis to the complex field of human tumours.

Some Stochastic Processes Arising in Neurobiology

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Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.:/5 (22 download)

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Book Synopsis Some Stochastic Processes Arising in Neurobiology by : Ian William Saunders

Download or read book Some Stochastic Processes Arising in Neurobiology written by Ian William Saunders and published by . This book was released on 1978 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Neuroscience

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Publisher : Springer Science & Business Media
ISBN 13 : 1475798008
Total Pages : 897 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Computational Neuroscience by : James M. Bower

Download or read book Computational Neuroscience written by James M. Bower and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 897 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes papers presented at the Fifth Annual Computational Neurosci ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa tional neuroscience as the exploration of how brains compute, it is clear that there is al most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di versity.