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

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"--

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

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.

Download or read book Organizing Principles of Neural Development written by S. C. Sharma and published by Springer Science & Business Media. This book was released on 2013-03-13 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains summaries of most of the invited presentations at the NATO Advanced Study Institute "Organizing Principles of Neural Development", held in Povoa de Varzim, Portugal, from June 1-12, 1982. The meeting was intended to bring together a select group of investigators to present their views on problems in the field and to foster extensive discussions in smaller groups. It was hoped that such communications would pique curiousity and creativity among the students and thus help in formulating additional hypotheses regarding the type of interactions which might underlie neural development. Despite the wide range of material covered at this institute, a common theme seemed to emerge: at all stages of their develop mental history, the cells of the nervous system interact with previously generated cells (both neurons and non-neurons) as well as with other constituents of the developmental milieu. The pre sentations at this meeting helped in comprehending how a relatively "simple" series of sequential events might provide the necessary information needed to generate the diversity, characteristic of the adult nervous system, without hypothesizing on the existence of specific genes acting to control each step.

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).

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:

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

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.

Download or read book Building Brains written by David J. Price and published by John Wiley & Sons. This book was released on 2017-09-25 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a highly visual, readily accessible introduction to the main events that occur during neural development and their mechanisms Building Brains: An Introduction to Neural Development, 2nd Edition describes how brains construct themselves, from simple beginnings in the early embryo to become the most complex living structures on the planet. It explains how cells first become neural, how their proliferation is controlled, what regulates the types of neural cells they become, how neurons connect to each other, how these connections are later refined under the influence of neural activity, and why some neurons normally die. This student-friendly guide stresses and justifies the generally-held belief that a greater knowledge of how nervous systems construct themselves will help us find new ways of treating diseases of the nervous system that are thought to originate from faulty development, such as autism spectrum disorders, epilepsy, and schizophrenia. A concise, illustrated guide focusing on core elements and emphasizing common principles of developmental mechanisms, supplemented by suggestions for further reading Text boxes provide detail on major advances, issues of particular uncertainty or controversy, and examples of human diseases that result from abnormal development Introduces the methods for studying neural development, allowing the reader to understand the main evidence underlying research advances Offers a balanced mammalian/non-mammalian perspective (and emphasizes mechanisms that are conserved across species), drawing on examples from model organisms like the fruit fly, nematode worm, frog, zebrafish, chick, mouse and human Associated Website includes all the figures from the textbook and explanatory movies Filled with full-colorartwork that reinforces important concepts; an extensive glossary and definitions that help readers from different backgrounds; and chapter summaries that stress important points and aid revision, Building Brains: An Introduction to Neural Development, 2nd Edition is perfect for undergraduate students and postgraduates who may not have a background in neuroscience and/or molecular genetics. “This elegant book ranges with ease and authority over the vast field of developmental neuroscience. This excellent textbook should be on the shelf of every neuroscientist, as well as on the reading list of every neuroscience student.” —Sir Colin Blakemore, Oxford University “With an extensive use of clear and colorful illustrations, this book makes accessible to undergraduates the beauty and complexity of neural development. The book fills a void in undergraduate neuroscience curricula.” —Professor Mark Bear, Picower Institute, MIT. Highly Commended, British Medical Association Medical Book Awards 2012 Published with the New York Academy of Sciences

Download or read book The Self Organizing Brain From Growth Cones to Functional Networks written by M.A. Corner 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.

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.

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.

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.

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.

Download or read book Mechanisms Underlying the Early Development and Function of the Xenopus Tadpole Retinotectal Circuit written by Zhenyu Liu and published by . This book was released on 2018 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proper neural circuit development across time and space is critical to give rise a well- functioning organism. The way that neurons self assemble into functional circuits is a fundamental question in neuroscience. To study how the molecular mechanism and activity regulates neural circuit development and function, we use Xenopus laevis as our model, specifically the retinotectal circuit – the major component of the amphibian visual system. It is comprised of the retinal ganglion cells (RGCs) in the eye, which project their axons to the optic tectum and form synapses onto the tectal neurons. The retinotectal circuit is a classic model to study important phases of neural development, from neurogenesis and neural differentiation, to axon guidance and synapse formation. My work utilized a recently developed brain preparation (horizontal brain slice preparation) to identify and characterize a population of gap junctionally coupled neurons residing in the superficial layer of the tectum that gate local recurrent network activity through their coupling. Further by using the same preparation, we discovered an NMDA-receptor dependent mechanism for subcellular segregation of sensory inputs in the tadpole optic tectum. Finally, to study the molecular mechanism underlying synapse formation and circuit development, we focused on the role of a single molecule, presenilin. Although studied and named in the context of Alzheimer’s disease, we are finding that normal function of presenilin is critical for proper retinotectal circuit synapse formation and development. These findings together contribute for better understanding of the mechanisms underlying proper development and function of the retinotectal circuit and thus give insights of how neural circuit develops, in general.

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.