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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

Self organizing Neural Maps  The Retinotectal Map and Mechanisms of Neural Development Book
Author : John T. Schmidt
Publisher : Academic Press
Release : 2019-10-15
ISBN : 0128185805
Language : En, Es, Fr & De

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Book Description :

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

The Self Assembling Brain Book
Author : Peter Robin Hiesinger
Publisher : Princeton University Press
Release : 2021-05-04
ISBN : 0691215510
Language : En, Es, Fr & De

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Book Description :

What neurobiology and artificial intelligence tell us about how the brain builds itself How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, “the information problem” underlies both fields, motivating the questions driving forward the frontiers of research. How does genetic information unfold during the years-long process of human brain development—and is there a quicker path to creating human-level artificial intelligence? Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers? Can AI bypass the evolutionary programming of “grown” networks? Through a series of fictional discussions between researchers across disciplines, complemented by in-depth seminars, Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives and approaches, as well as the common ground shared by those interested in the development of biological brains and AI systems. In the end, Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts. Written for readers interested in advances in neuroscience and artificial intelligence, The Self-Assembling Brain looks at how neural networks grow smarter.

Text Analytics

Text Analytics Book
Author : John Atkinson-Abutridy
Publisher : CRC Press
Release : 2022-05-03
ISBN : 1000581071
Language : En, Es, Fr & De

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Book Description :

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

Formation and Regeneration of Nerve Connections

Formation and Regeneration of Nerve Connections Book
Author : SHARMA,FAWCETT
Publisher : Springer Science & Business Media
Release : 2013-11-11
ISBN : 1489967079
Language : En, Es, Fr & De

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Book Description :

Download Formation and Regeneration of Nerve Connections book written by SHARMA,FAWCETT, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Development of Neural Circuitry

Development of Neural Circuitry Book
Author : Anonim
Publisher : Academic Press
Release : 2009-05-07
ISBN : 9780080922614
Language : En, Es, Fr & De

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Book Description :

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

Mathematical Approaches to Neural Networks

Mathematical Approaches to Neural Networks Book
Author : J.G. Taylor
Publisher : Elsevier
Release : 1993-10-27
ISBN : 9780080887395
Language : En, Es, Fr & De

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Book Description :

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.

The Self Organizing Brain From Growth Cones to Functional Networks

The Self Organizing Brain  From Growth Cones to Functional Networks Book
Author : M.A. Corner,F.H. Lopes da Silva,H.B.M. Uylings,J. van Pelt
Publisher : Elsevier
Release : 1994-10-11
ISBN : 0080862276
Language : En, Es, Fr & De

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Book Description :

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

Brain Development Book
Author : Michael W. Miller
Publisher : Oxford University Press
Release : 2006-04-06
ISBN : 9780199795970
Language : En, Es, Fr & De

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Book Description :

This is the first book about both normal development of the nervous system and how early exposure to alcohol and nicotine interferes with this development. The developing nervous system is highly dynamic and vulnerable to genetic and epigenetic factors that can be additive or synergistic. Disruption of normal brain development leads to an array of developmental disorders. One of the most common of these is mental retardation, the prime cause of which is prenatal exposure to alcohol. As chapters in this book show, alcohol has direct effects on the developing neural system and it affects genetic regulation. Another common neurotoxin is nicotine, and it is discussed in this book for three reasons: (1) the number of adolescents who smoke cigarettes is rising in some populations; (2) prenatal exposure to nicotine affects neurotransmitter systems that are critical for normal brain development and cognition; and (3) prenatal exposure to nicotine is often accompanied by prenatal exposure to alcohol.LThe mature brain is the culmination of an orderly sequence of the basic ontogenetic processes--cell proliferation, migration, differentiation, and death. Neural stem cells and progenitors proliferate in discrete sites; then, young neurons migrate long distances to their residences where they form neural networks. During this sequence many immature cells die, presumably eliminating unsuitable or non-competitive cells. Each process is regulated by genetic and environmental factors. When this regulation goes awry, a dysmorphic and dysfunctional brain results. Though this can be tragic in clinical settings, in experimental contexts it provides keen insight into normal brain development.LThe book is divided into three parts. The first describes neural ontogeny in the normal brain. The second and third deal with the consequences of early exposure to alcohol and nicotine. Though there are similarities in the effects of these two toxins, there are also intriguing differences. The commonalities reflect the plasticity and resilience of the developing brain while the differences point to the targeted effects of the two toxins. Exploring these effects brings a richer appreciation of brain development. The book will be of interest to neuroscientists, developmental biologists, teratologists, pharmacologists, toxicologists, neurologists, neuropsychologists, and to their students and trainees.

Modeling Neural Development

Modeling Neural Development Book
Author : Arjen Van Ooyen
Publisher : MIT Press
Release : 2003
ISBN : 0262220660
Language : En, Es, Fr & De

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Book Description :

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

Connectionist Models

Connectionist Models Book
Author : David S. Touretzky,Jeffrey L. Elman,Terrence J. Sejnowski
Publisher : Morgan Kaufmann
Release : 2014-05-12
ISBN : 1483214486
Language : En, Es, Fr & De

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Book Description :

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.

Encyclopedia of Neuroscience Volume 1

Encyclopedia of Neuroscience  Volume 1 Book
Author : Larry R. Squire
Publisher : Academic Press
Release : 2009-06-12
ISBN : 0080963935
Language : En, Es, Fr & De

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Book Description :

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.

Neural Mechanisms

Neural Mechanisms Book
Author : Fabrizio Calzavarini,Marco Viola
Publisher : Springer Nature
Release : 2020-12-02
ISBN : 3030540928
Language : En, Es, Fr & De

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Book Description :

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.

Cumulated Index Medicus

Cumulated Index Medicus Book
Author : Anonim
Publisher : Unknown
Release : 1999
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Cumulated Index Medicus book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

From Neuron to Cognition via Computational Neuroscience

From Neuron to Cognition via Computational Neuroscience Book
Author : Michael A. Arbib,James J. Bonaiuto
Publisher : MIT Press
Release : 2016-11-11
ISBN : 0262034964
Language : En, Es, Fr & De

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Book Description :

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

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks Book
Author : Michael A. Arbib,Fletcher Jones Professor of Computer Science and Professor of Biological Sciences Biomedical Engineering Neuroscience and Psychology Michael A Arbib,Prudence H. Arbib
Publisher : MIT Press
Release : 2003
ISBN : 0262011972
Language : En, Es, Fr & De

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Book Description :

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).

Developmental Neurobiology

Developmental Neurobiology Book
Author : Greg Lemke
Publisher : Academic Press
Release : 2010-05-22
ISBN : 9780123751676
Language : En, Es, Fr & De

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Book Description :

Developmental Neuroscience is one of the six core disciplines in Neuroscience, and yet no single volume, non-textbook reference exists on the market that provides researchers with more in-depth, high-level information on developmental neurobiology. Currently, anyone interested in the field at a higher level must sift through review articles published frequently and the more specific handbooks that focus on aspects of development rather than the field as a whole. This reference is the first of its kind to fill this need. It pulls together the relevant articles on the topic from the 10-volume Encyclopedia of Neuroscience (Academic Press, 2008) and serves as an affordable and immediate resource for scientists, postdocs, graduate students with an interest beyond the basic textbook materials on the subject. The first and only comprehensive, single-volume reference for developmental neuroscience that goes beyond the basic textbook information The 93 chapters cover topics ranging from cell fate determination, path finding, synapse generation, neural stem cells, to neurodegeneration and regeneration, carefully selected from the Encyclopedia of Neuroscience by one of the great developmental neuroscientists, Greg Lemke The best researchers in the field provide their conclusions in the context of the latest experimental results

Neuro vision Systems

Neuro vision Systems Book
Author : Madan M. Gupta,George K. Knopf
Publisher : New York : IEEE Press
Release : 1994
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Neuro vision Systems book written by Madan M. Gupta,George K. Knopf, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Elements of Neurogeometry

Elements of Neurogeometry Book
Author : Jean Petitot
Publisher : Springer
Release : 2017-11-08
ISBN : 3319655914
Language : En, Es, Fr & De

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Book Description :

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.

Network

Network Book
Author : Anonim
Publisher : Unknown
Release : 2005
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Network book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Artificial Neural Networks ICANN 2008

Artificial Neural Networks   ICANN 2008 Book
Author : Vera Kurkova,Vera Kůrková,Roman Neruda,Jan Koutnik
Publisher : Springer Science & Business Media
Release : 2008-08-25
ISBN : 3540875581
Language : En, Es, Fr & De

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Book Description :

Patterns: From Cog- tion to Disease,” and “ConstructiveNeuralNetworks,”and two workshops,New TrendsinSelf-OrganizationandOptimizationofArti?cialNeuralNetworks,and Adaptive Mechanisms of the Perception-Action Cycle.