Neural We
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Neural We
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Author : Pavel Somov
language : en
Publisher:
Release Date : 2017-06-03
Neural We written by Pavel Somov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-03 with categories.
Wherever you find a neuron, there - as a species - we are. It is time we say a Neural Namaste to our neural selves. It is time we - the neurons - dare to unconditionally anthropomorphize ourselves. We - the so-called "humans" - would get a better sense of who we are if we started thinking of ourselves as a "we" not an "I," as a neural plurality rather than a neural monad. (Not, as a "royal we," but as a "neural we"). The book is about playing with the definition of being human, about expanding our radius of identification across species, and about our place on the tree of life. The book was previously published under the title of "A Meeting of Neural Avatars," which is now included as a chapter in the book, along with the discussion of such topics as Steven Sevush's single-neuron theory of consciousness, multiple personalities (or Robert Ornstein's "multimind"), metazoan paradox of agency, possibility of single neuron cryonics, mirror neurons, "the fetish of cephalization," split-brain research, etc.About the author: Pavel Somov, PhD is a licensed psychologist in private practice, and the author of 7 self-help books on mindfulness-based self-help; he speaks domestically and internationally on the topics of mindfulness; Somov is on the Advisory Board of the Mindfulness Project (London, UK); he has also published in peer-reviewed journals. "'A Meeting of the Neural Avatars' is, neurally speaking, a mind-blowing trip. It just may redefine the distinction between me and you and we. A fascinating take on human connection and what it means to our mutual evolution." - Donald Altman, mindfulness teacher and author, The Joy Compass and One-Minute MindfulnessA few sample lines from the "Neural Avatars:""Anatomically speaking, you are a plurality (of neurons) that experiences itself as a oneness (of consciousness).""The two (brains) become one (brain). A duality is collapsed. Oneness is achieved - literally, not metaphorically.""A Neural Tribe pow-wow - beyond language, beyond difference, beyond the illusion of separateness.""We have evolutionarily learned to walk the ten-thousand-words-long road of language. I have no doubt that sooner or later we can learn how to take the neural short-cut.""Oneness is a Pandora's box of understanding.""Like Brahmin priests of the old days we ride on top of the cellular elephants of our own bodies. The lowly cells, we - the Neurons - have risen from the soil of the Earth and are comfortably ensconced in the loft-spaces of our skulls, looking down on each other, passing each other on the dusty road without a hello. So, let us notice each other in a Namaste of neural recognition."
Neural Information Processing
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Author : Masumi Ishikawa
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-16
Neural Information Processing written by Masumi Ishikawa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-16 with Computers categories.
The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Principles Of Neural Coding
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Author : Rodrigo Quian Quiroga
language : en
Publisher: CRC Press
Release Date : 2013-05-06
Principles Of Neural Coding written by Rodrigo Quian Quiroga and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-06 with Medical categories.
Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this b
Neural Networks For Cooperative Control Of Multiple Robot Arms
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Author : Shuai Li
language : en
Publisher: Springer
Release Date : 2017-10-29
Neural Networks For Cooperative Control Of Multiple Robot Arms written by Shuai Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-29 with Technology & Engineering categories.
This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.
Exploring Neural Networks With C
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Author : Ryszard Tadeusiewicz
language : en
Publisher: CRC Press
Release Date : 2017-07-27
Exploring Neural Networks With C written by Ryszard Tadeusiewicz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-27 with Computers categories.
The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical.Exploring Neural Networks with C# presents the important properties of neural networks
Fuzzy And Neural Interactions And Applications
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Author : James J. Buckley
language : en
Publisher: Physica
Release Date : 2013-06-05
Fuzzy And Neural Interactions And Applications written by James J. Buckley and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-05 with Computers categories.
The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice.
Complex Valued Neural Networks With Multi Valued Neurons
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Author : Igor Aizenberg
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-24
Complex Valued Neural Networks With Multi Valued Neurons written by Igor Aizenberg and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-24 with Computers categories.
Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Its activation function is a function only of argument (phase) of the weighted sum. MVN derivative-free learning is based on the error-correction rule. A single MVN can learn those input/output mappings that are non-linearly separable in the real domain. Such classical non-linearly separable problems as XOR and Parity n are the simplest that can be learned by a single MVN. Another important advantage of MVN is a proper treatment of the phase information. These properties of MVN become even more remarkable when this neuron is used as a basic one in neural networks. The Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) is an MVN-based feedforward neural network. Its backpropagation learning algorithm is derivative-free and based on the error-correction rule. It does not suffer from the local minima phenomenon. MLMVN outperforms many other machine learning techniques in terms of learning speed, network complexity and generalization capability when solving both benchmark and real-world classification and prediction problems. Another interesting application of MVN is its use as a basic neuron in multi-state associative memories. The book is addressed to those readers who develop theoretical fundamentals of neural networks and use neural networks for solving various real-world problems. It should also be very suitable for Ph.D. and graduate students pursuing their degrees in computational intelligence.
Neural Networks
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Author : Raul Rojas
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29
Neural Networks written by Raul Rojas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.
Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.
Complex Valued Neural Networks
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Author : Akira Hirose
language : en
Publisher: Springer
Release Date : 2007-01-11
Complex Valued Neural Networks written by Akira Hirose and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-11 with Computers categories.
This monograph instructs graduate- and undergraduate-level students in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering on the concepts of complex-valued neural networks. Emphasizing basic concepts and ways of thinking about neural networks, the author focuses on neural networks that deal with complex numbers; the practical advantages of complex-valued neural networks, and their origins; the development of principal applications? The book uses detailed examples to answer these questions and more.
Analysis Of Neural Data
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Author : Robert E. Kass
language : en
Publisher: Springer
Release Date : 2014-07-08
Analysis Of Neural Data written by Robert E. Kass and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Medical categories.
Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.