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David Grundy Neural Control of Gastrointestinal Function

Brian Nelms Transcriptional Control of Neural Crest Development

Shuai Li Kinematic Control of Redundant Robot Arms Using Neural Networks

Группа авторов Handbook of Neural Engineering


An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural signal and image processing–the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods–and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies Neuro-nanotechnology, artificial implants, and neural prosthesis–the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses Neurorobotics and neural rehabilitation engineering–the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control

20861.75 RUR

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David B. Young Control of Potassium

David Young Control of Cardiac Output

Sedat Tardu Wall Turbulence Control


Wall turbulence control is a major subject, the investigation of which involves significant industrial, environmental and fundamental consequences. Wall Turbulence Control addresses recent advances achieved in active and passive wall turbulence control over the past two decades. This valuable reference for scientists, researchers and engineers provides an updated view of the research into this topic, including passive control, optimal and suboptimal control methodology, linear control and control using adaptive methods (neural networks), polymer and bubble injection, electromagnetic control and recent advances in control by plasma.

15488.72 RUR

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J. Peter Dosch Manual of Neural Therapy According to Huneke


More and more patients with chronic pain and other disorders are relying on neural therapy – a treatment concept based on employing the properties of local anesthetics to regulate disorders of the autonomic system – to alleviate their symptoms. Yet there are precious few spezialized, didactic resources for medical practitioners interested in learning about this highly effective therapeutic alternative.The <strong><i>Manual of Neural Therapy According to Huneke</i></strong> offers accessible, practical information on all aspects of neural therapy as it is practiced today. Designed for use in the classroom and in the clinic, this illustrated manual comprises three sections:– Theory and Practice of neural therapy according to Huneke – including detailed definitions of all terminology; discussions of experiments, successes, and failures of neural therapy; the scientific theory behind segmental therapy and interference fields; and practical applications.– Encyclopedia of neural therapy – featuring an encyclopedia of conditions and indications in every anatomic region, as well as numerous case studies. – Techniques of neural therapy – a comprehensive, substantially illustrated list of injection procedures, including detailed guidance on insertion points, direction, and depth. Distilling decades of clinical research and hands-on experience, this unique book is essential reading for practitioners of all disciplines interested in exploring how contemporary neural therapy can complement and enhance the way they practice medicine.

6099.17 RUR

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Yoav Goldberg Neural Network Methods in Natural Language Processing


Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

4571.13 RUR

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Frederic Harold Mrs Albert Grundy—Observations in Philistia

Marc Strange Body Blows


Ex-boxer Joe Grundy is embroiled in the intrigues of his own boss, millionaire Leo Alexander, the owner of Vancouver's Lord Douglas Hotel. Somebody has murdered Leo's live-in servant and not-so-secret lover, and Grundy has to get to the bottom of the incident in order to clear the man he's forged a bond with since first coming to work for him as security for the hotel. But Leo's past serves up more surprises than Grundy bargained for. It seems Leo has had a life full of death, jilted mistresses, spurned spouses, sharp business deals, and explosive relationships with estranged children. Another corpse pops up, Leo is arrested and jailed, and Grundy takes more hits to his body and psyche than perhaps even he can handle. Thoughts of real and imagined death are stalking the corridors of the Lord Douglas, and Joe Grundy has to keep swinging to stay alive and remain sane.

685.48 RUR

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Madan Gupta Static and Dynamic Neural Networks


Provides comprehensive treatment of the theory of both static and dynamic neural networks. * Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. *An Instructor Support FTP site is available from the Wiley editorial department.

21044.75 RUR

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Akira Hirose Complex-Valued Neural Networks. Advances and Applications


Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed of amplitude and phase, which is one of the core concepts in physical systems to deal with electromagnetic, light, sonic/ultrasonic waves as well as quantum waves, namely, electron and superconducting waves. This fact is a critical advantage in practical applications in diverse fields of engineering, where signals are routinely analyzed and processed in time/space, frequency, and phase domains. Complex-Valued Neural Networks: Advances and Applications covers cutting-edge topics and applications surrounding this timely subject. Demonstrating advanced theories with a wide range of applications, including communication systems, image processing systems, and brain-computer interfaces, this text offers comprehensive coverage of: Conventional complex-valued neural networks Quaternionic neural networks Clifford-algebraic neural networks Presented by international experts in the field, Complex-Valued Neural Networks: Advances and Applications is ideal for advanced-level computational intelligence theorists, electromagnetic theorists, and mathematicians interested in computational intelligence, artificial intelligence, machine learning theories, and algorithms.

12169.36 RUR

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Группа авторов Human Memory Modeled with Standard Analog and Digital Circuits


Gain a new perspective on how the brain works and inspires new avenues for design in computer science and engineering This unique book is the first of its kind to introduce human memory and basic cognition in terms of physical circuits, beginning with the possibilities of ferroelectric behavior of neural membranes, moving to the logical properties of neural pulses recognized as solitons, and finally exploring the architecture of cognition itself. It encourages invention via the methodical study of brain theory, including electrically reversible neurons, neural networks, associative memory systems within the brain, neural state machines within associative memory, and reversible computers in general. These models use standard analog and digital circuits that, in contrast to models that include non-physical components, may be applied directly toward the goal of constructing a machine with artificial intelligence based on patterns of the brain. Writing from the circuits and systems perspective, the author reaches across specialized disciplines including neuroscience, psychology, and physics to achieve uncommon coverage of: Neural membranes Neural pulses and neural memory Circuits and systems for memorizing and recalling Dendritic processing and human learning Artificial learning in artificial neural networks The asset of reversibility in man and machine Electrically reversible nanoprocessors Reversible arithmetic Hamiltonian circuit finders Quantum versus classical Each chapter introduces and develops new material and ends with exercises for readers to put their skills into practice. Appendices are provided for non-experts who want a quick overview of brain anatomy, brain psychology, and brain scanning. The nature of this book, with its summaries of major bodies of knowledge, makes it a most valuable reference for professionals, researchers, and students with career goals in artificial intelligence, intelligent systems, neural networks, computer architecture, and neuroscience. A solutions manual is available for instructors; to obtain a copy please email the editorial department at [email protected]

17018.8 RUR

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Sean Grundy Cavity

Peter Grundy Newspapers


Practical, creative and original ideas show teachers how they can make effective use of English-language newspapers in the classroom.

2556.39 RUR

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Vivienne Sze Efficient Processing of Deep Neural Networks

David Crockett A Narrative of the Life of David Crockett

Sean Grundy In The Family

Группа авторов Computational Models of Brain and Behavior


A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

15477.74 RUR

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