Self Organizing Neural Maps The Retinotectal Map And Mechanisms Of Neural Development

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Self-organizing Neural Maps: The Retinotectal Map and Mechanisms of Neural Development

Author : John T. Schmidt
Publisher : Academic Press
ISBN 13 : 0128185805
Total Pages : 474 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Self-organizing Neural Maps: The Retinotectal Map and Mechanisms of Neural Development by : John T. Schmidt

Download or read book Self-organizing Neural Maps: The Retinotectal Map and Mechanisms of Neural Development written by John T. Schmidt and published by Academic Press. This book was released on 2019-10-15 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self-organizing Neural Maps: From Retina to Tectum describes the underlying processes that determine how retinal fibers self-organize into an orderly visual map. The formation of neural maps is a fundamental organizing concept in neurodevelopment that can shed light on developmental mechanisms and the functions of genes elsewhere. The book presents a summary of research in the retinotectal field with an ultimate goal of synthesizing how underlying mechanisms in neural development harmoniously come together to create life. A broad spectrum of neuroscientists and biomedical scientists with differing backgrounds and varied expertise will find this book useful. - Describes the mechanisms relating to the developmental wiring of the retinotectal system - Brings together the state-of-the-art research in axon guidance and neuronal activity mechanisms in map formation - Focuses on topographical maps and inclusion of multiple animal models, from fish to mammals - Explores the molecular guidance and activity dependent cue components involved in neurodevelopment

The Self-Assembling Brain

Author : Peter Robin Hiesinger
Publisher : Princeton University Press
ISBN 13 : 0691241694
Total Pages : 384 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis The Self-Assembling Brain by : Peter Robin Hiesinger

Download or read book The Self-Assembling Brain written by Peter Robin Hiesinger and published by Princeton University Press. This book was released on 2022-12-13 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this book, Peter Robin Hiesinger explores historical and contemporary attempts to understand the information needed to make biological and artificial neural networks. Developmental neurobiologists and computer scientists with an interest in artificial intelligence - driven by the promise and resources of biomedical research on the one hand, and by the promise and advances of computer technology on the other - are trying to understand the fundamental principles that guide the generation of an intelligent system. Yet, though researchers in these disciplines share a common interest, their perspectives and approaches are often quite different. The book makes the case that "the information problem" underlies both fields, driving the questions that are driving forward the frontiers, and aims to encourage cross-disciplinary communication and understanding, to help both fields make progress. The questions that challenge researchers in these fields include the following. How does genetic information unfold during the years-long process of human brain development, and can this be a short-cut to create human-level artificial intelligence? Is the biological brain just messy hardware that can be improved upon by running learning algorithms in computers? Can artificial intelligence bypass evolutionary programming of "grown" networks? These questions are tightly linked, and answering them requires an understanding of how information unfolds algorithmically to generate functional neural networks. Via a series of closely linked "discussions" (fictional dialogues between researchers in different disciplines) and pedagogical "seminars," the author explores the different challenges facing researchers working on neural networks, their different perspectives and approaches, as well as the common ground and understanding to be found amongst those sharing an interest in the development of biological brains and artificial intelligent systems"--

Text Analytics

Author : John Atkinson-Abutridy
Publisher : CRC Press
ISBN 13 : 1000581071
Total Pages : 201 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Text Analytics by : John Atkinson-Abutridy

Download or read book Text Analytics written by John Atkinson-Abutridy and published by CRC Press. This book was released on 2022-05-03 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Analytics: An Introduction to the Science and Applications of Unstructured Information Analysis is a concise and accessible introduction to the science and applications of text analytics (or text mining), which enables automatic knowledge discovery from unstructured information sources, for both industrial and academic purposes. The book introduces the main concepts, models, and computational techniques that enable the reader to solve real decision-making problems arising from textual and/or documentary sources. Features: Easy-to-follow step-by-step concepts and methods Every chapter is introduced in a very gentle and intuitive way so students can understand the WHYs, WHAT-IFs, WHAT-IS-THIS-FORs, HOWs, etc. by themselves Practical programming exercises in Python for each chapter Includes theory and practice for every chapter, summaries, practical coding exercises for target problems, QA, and sample code and data available for download at https://www.routledge.com/Atkinson-Abutridy/p/book/9781032249797

Principles of Computational Modelling in Neuroscience

Author : David Sterratt
Publisher : Cambridge University Press
ISBN 13 : 1108483143
Total Pages : 553 pages
Book Rating : 4.1/5 (84 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 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.

The Handbook of Brain Theory and Neural Networks

Author : Michael A. Arbib
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).

Formation and Regeneration of Nerve Connections

Author : SHARMA
Publisher : Springer Science & Business Media
ISBN 13 : 1489967079
Total Pages : 271 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Formation and Regeneration of Nerve Connections by : SHARMA

Download or read book Formation and Regeneration of Nerve Connections written by SHARMA and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Development of Neural Circuitry

Author :
Publisher : Academic Press
ISBN 13 : 0080922619
Total Pages : 253 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Development of Neural Circuitry by :

Download or read book Development of Neural Circuitry written by and published by Academic Press. This book was released on 2009-05-07 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: The nervous system is highly complex both in its structural order and in its ability to perform the many functions required for survival and interaction with the environment; understanding how it develops has proven to be one of the greatest challenges in biology. Such precision demands that key events at every developmental stage are executed properly and are coordinated to produce the circuitry underlying each of the adult nervous system's functions. This volume describes the latest research on the cellular and molecular mechanisms of neural circuitry development, while providing researchers with a one-stop overview and synthesis of contemporary thought in the area. Reviews current research findings on the development of neural circuitry, providing researchers with an overview and synthesis of the latest contemporary thought in the cellular and molecular mechanisms that underlie the development of neural circuitry Includes chapters discussing topics such as the guidance of nerve growth and the formation of plasticity of synapses, helping researchers better understand underlying mechanisms of neural circuit development and maintenance that may play a role in such human diseases/conditions as depression, anxiety, and pain Chapters make use of a variety of human and animal models, allowing researchers to compare and contrast neural circuitry development across a wide spectrum of models

The Self-Organizing Brain: From Growth Cones to Functional Networks

Author : Jaap Pelt
Publisher : Elsevier
ISBN 13 : 0444818197
Total Pages : 463 pages
Book Rating : 4.4/5 (448 download)

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Book Synopsis The Self-Organizing Brain: From Growth Cones to Functional Networks by : Jaap Pelt

Download or read book The Self-Organizing Brain: From Growth Cones to Functional Networks written by Jaap Pelt and published by Elsevier. This book was released on 1994-10-11 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concentrates on the organizational level of neurons and neuronal networks under the unifying theme "The Self-Organizing Brain - From Growth Cones to Functional Networks". Such a theme is attractive because it incorporates all phases in the emergence of complexity and (adaptive) organization, as well as involving processes that remain operative in the mature state. The order of the sections follows successive levels of organization from neuronal growth cones, neurite formation, neuronal morphology and signal processing to network development, network dynamics and, finally, to the formation of functional circuits.

Brain Development

Author : Michael W. Miller
Publisher : Oxford University Press
ISBN 13 : 9780195183139
Total Pages : 432 pages
Book Rating : 4.1/5 (831 download)

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Book Synopsis Brain Development by : Michael W. Miller

Download or read book Brain Development written by Michael W. Miller and published by Oxford University Press. This book was released on 2006-04-06 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text describes both the intricate events underlying normal development of the nervous system and how alcohol and nicotine interfere with that development. It highlights the plasticity and resilience of the developing brain, as well as the targeted effects of each toxin.

Connectionist Models

Author : David S. Touretzky
Publisher : Morgan Kaufmann
ISBN 13 : 1483214486
Total Pages : 417 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Connectionist Models by : David S. Touretzky

Download or read book Connectionist Models written by David S. Touretzky and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models contains the proceedings of the 1990 Connectionist Models Summer School held at the University of California at San Diego. The summer school provided a forum for students and faculty to assess the state of the art with regards to connectionist modeling. Topics covered range from theoretical analysis of networks to empirical investigations of learning algorithms; speech and image processing; cognitive psychology; computational neuroscience; and VLSI design. Comprised of 40 chapters, this book begins with an introduction to mean field, Boltzmann, and Hopfield networks, focusing on deterministic Boltzmann learning in networks with asymmetric connectivity; contrastive Hebbian learning in the continuous Hopfield model; and energy minimization and the satisfiability of propositional logic. Mean field networks that learn to discriminate temporally distorted strings are described. The next sections are devoted to reinforcement learning and genetic learning, along with temporal processing and modularity. Cognitive modeling and symbol processing as well as VLSI implementation are also discussed. This monograph will be of interest to both students and academicians concerned with connectionist modeling.

Modeling Neural Development

Author : Arjen Van Ooyen
Publisher : MIT Press
ISBN 13 : 0262220660
Total Pages : 348 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis Modeling Neural Development by : Arjen Van Ooyen

Download or read book Modeling Neural Development written by Arjen Van Ooyen and published by MIT Press. This book was released on 2003 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important collection showing how computational and mathematical modeling can be used to study the complexities of neural development.

Neural Mechanisms

Author : Fabrizio Calzavarini
Publisher : Springer Nature
ISBN 13 : 3030540928
Total Pages : 498 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Neural Mechanisms by : Fabrizio Calzavarini

Download or read book Neural Mechanisms written by Fabrizio Calzavarini and published by Springer Nature. This book was released on 2020-12-02 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume brings together new papers advancing contemporary debates in foundational, conceptual, and methodological issues in cognitive neuroscience. The different perspectives presented in each chapter have previously been discussed between the authors, as the volume builds on the experience of Neural Mechanisms (NM) Online – webinar series on the philosophy of neuroscience organized by the editors of this volume. The contributed chapters pertain to five core areas in current philosophy of neuroscience. It surveys the novel forms of explanation (and prediction) developed in cognitive neuroscience, and looks at new concepts, methods and techniques used in the field. The book also highlights the metaphysical challenges raised by recent neuroscience and demonstrates the relation between neuroscience and mechanistic philosophy. Finally, the book dives into the issue of neural computations and representations. Assembling contributions from leading philosophers of neuroscience, this work draws upon the expertise of both established scholars and promising early career researchers.

Mathematical Approaches to Neural Networks

Author : J.G. Taylor
Publisher : Elsevier
ISBN 13 : 0080887392
Total Pages : 391 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Mathematical Approaches to Neural Networks by : J.G. Taylor

Download or read book Mathematical Approaches to Neural Networks written by J.G. Taylor and published by Elsevier. This book was released on 1993-10-27 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing.This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.

Encyclopedia of Neuroscience, Volume 1

Author : Larry R. Squire
Publisher : Academic Press
ISBN 13 : 0080963935
Total Pages : 12505 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis Encyclopedia of Neuroscience, Volume 1 by : Larry R. Squire

Download or read book Encyclopedia of Neuroscience, Volume 1 written by Larry R. Squire and published by Academic Press. This book was released on 2009-06-12 with total page 12505 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of the Neuroscience explores all areas of the discipline in its focused entries on a wide variety of topics in neurology, neurosurgery, psychiatry and other related areas of neuroscience. Each article is written by an expert in that specific domain and peer reviewed by the advisory board before acceptance into the encyclopedia. Each article contains a glossary, introduction, a reference section, and cross-references to other related encyclopedia articles. Written at a level suitable for university undergraduates, the breadth and depth of coverage will appeal beyond undergraduates to professionals and academics in related fields.

From Neuron to Cognition via Computational Neuroscience

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262034964
Total Pages : 810 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis From Neuron to Cognition via Computational Neuroscience by : Michael A. Arbib

Download or read book From Neuron to Cognition via Computational Neuroscience written by Michael A. Arbib and published by MIT Press. This book was released on 2016-11-11 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille

Cumulated Index Medicus

Author :
Publisher :
ISBN 13 :
Total Pages : 1984 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Cumulated Index Medicus by :

Download or read book Cumulated Index Medicus written by and published by . This book was released on 1998 with total page 1984 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Elements of Neurogeometry

Author : Jean Petitot
Publisher : Springer
ISBN 13 : 3319655914
Total Pages : 388 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Elements of Neurogeometry by : Jean Petitot

Download or read book Elements of Neurogeometry written by Jean Petitot and published by Springer. This book was released on 2017-11-08 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes several mathematical models of the primary visual cortex, referring them to a vast ensemble of experimental data and putting forward an original geometrical model for its functional architecture, that is, the highly specific organization of its neural connections. The book spells out the geometrical algorithms implemented by this functional architecture, or put another way, the “neurogeometry” immanent in visual perception. Focusing on the neural origins of our spatial representations, it demonstrates three things: firstly, the way the visual neurons filter the optical signal is closely related to a wavelet analysis; secondly, the contact structure of the 1-jets of the curves in the plane (the retinal plane here) is implemented by the cortical functional architecture; and lastly, the visual algorithms for integrating contours from what may be rather incomplete sensory data can be modelled by the sub-Riemannian geometry associated with this contact structure. As such, it provides readers with the first systematic interpretation of a number of important neurophysiological observations in a well-defined mathematical framework. The book’s neuromathematical exploration appeals to graduate students and researchers in integrative-functional-cognitive neuroscience with a good mathematical background, as well as those in applied mathematics with an interest in neurophysiology.