Self organizing Neural Maps  The Retinotectal Map and Mechanisms of Neural Development Book

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

  • Author : John T. Schmidt
  • Publisher : Academic Press
  • Release Date : 2019-10-15
  • Genre: Medical
  • Pages : 472
  • ISBN 10 : 9780128185803

Self organizing Neural Maps The Retinotectal Map and Mechanisms of Neural Development 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 Book

The Self Assembling Brain

  • Author : Peter Robin Hiesinger
  • Publisher : Princeton University Press
  • Release Date : 2022-12-13
  • Genre: Computers
  • Pages : 384
  • ISBN 10 : 9780691241692

The Self Assembling Brain 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 Book

Text Analytics

  • Author : John Atkinson-Abutridy
  • Publisher : CRC Press
  • Release Date : 2022-05-03
  • Genre: Computers
  • Pages : 258
  • ISBN 10 : 9781000581072

Text Analytics 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

Development of Neural Circuitry Book

Development of Neural Circuitry

  • Author : Anonim
  • Publisher : Academic Press
  • Release Date : 2009-05-07
  • Genre: Science
  • Pages : 240
  • ISBN 10 : 0080922619

Development of Neural Circuitry 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

Modeling Neural Development Book

Modeling Neural Development

  • Author : Arjen Van Ooyen
  • Publisher : MIT Press
  • Release Date : 2003
  • Genre: Medical
  • Pages : 322
  • ISBN 10 : 9780262220668

Modeling Neural Development Excerpt :

An important collection showing how computational and mathematical modeling can beused to study the complexities of neural development.

Brain Development Book

Brain Development

  • Author : Michael W. Miller
  • Publisher : Oxford University Press
  • Release Date : 2006-04-06
  • Genre: Medical
  • Pages : 432
  • ISBN 10 : 0195183134

Brain Development 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.

The Self Organizing Brain  From Growth Cones to Functional Networks Book

The Self Organizing Brain From Growth Cones to Functional Networks

  • Author : M.A. Corner
  • Publisher : Elsevier
  • Release Date : 1994-10-11
  • Genre: Medical
  • Pages : 443
  • ISBN 10 : 9780080862279

The Self Organizing Brain From Growth Cones to Functional Networks 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.

Mathematical Approaches to Neural Networks Book

Mathematical Approaches to Neural Networks

  • Author : J.G. Taylor
  • Publisher : Elsevier
  • Release Date : 1993-10-27
  • Genre: Computers
  • Pages : 381
  • ISBN 10 : 0080887392

Mathematical Approaches to Neural Networks 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.

Connectionist Models Book

Connectionist Models

  • Author : David S. Touretzky
  • Publisher : Morgan Kaufmann
  • Release Date : 2014-05-12
  • Genre: Psychology
  • Pages : 416
  • ISBN 10 : 9781483214481

Connectionist Models 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.

Neural Mechanisms Book

Neural Mechanisms

  • Author : Fabrizio Calzavarini
  • Publisher : Springer Nature
  • Release Date : 2020-12-02
  • Genre: Philosophy
  • Pages : 498
  • ISBN 10 : 9783030540920

Neural Mechanisms 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.

Encyclopedia of Neuroscience  Volume 1 Book

Encyclopedia of Neuroscience Volume 1

  • Author : Larry R. Squire
  • Publisher : Academic Press
  • Release Date : 2009-06-12
  • Genre: Medical
  • Pages : 12505
  • ISBN 10 : 9780080963938

Encyclopedia of Neuroscience Volume 1 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.

Cumulated Index Medicus Book
Score: 2
From 4 Ratings

Cumulated Index Medicus

  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1999
  • Genre: Medicine
  • Pages : null
  • ISBN 10 : OSU:32436010790259

Cumulated Index Medicus Excerpt :

From Neuron to Cognition via Computational Neuroscience Book

From Neuron to Cognition via Computational Neuroscience

  • Author : Michael A. Arbib
  • Publisher : MIT Press
  • Release Date : 2016-11-11
  • Genre: Science
  • Pages : 808
  • ISBN 10 : 9780262034968

From Neuron to Cognition via Computational Neuroscience 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

The Handbook of Brain Theory and Neural Networks Book

The Handbook of Brain Theory and Neural Networks

  • Author : Michael A. Arbib
  • Publisher : MIT Press
  • Release Date : 2003
  • Genre: Computers
  • Pages : 1290
  • ISBN 10 : 9780262011976

The Handbook of Brain Theory and Neural Networks 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).