Emerging Trends in Neuro Engineering and Neural Computation

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Publisher : Springer
ISBN 13 : 9811039577
Total Pages : 264 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Emerging Trends in Neuro Engineering and Neural Computation by : Asim Bhatti

Download or read book Emerging Trends in Neuro Engineering and Neural Computation written by Asim Bhatti and published by Springer. This book was released on 2017-03-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.

Neural Engineering

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Publisher : MIT Press
ISBN 13 : 9780262550604
Total Pages : 384 pages
Book Rating : 4.01/5 ( download)

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Book Synopsis Neural Engineering by : Chris Eliasmith

Download or read book Neural Engineering written by Chris Eliasmith and published by MIT Press. This book was released on 2003 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.

Nonlinear Dynamics in Computational Neuroscience

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Publisher : Springer
ISBN 13 : 3319710486
Total Pages : 141 pages
Book Rating : 4.88/5 ( download)

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Book Synopsis Nonlinear Dynamics in Computational Neuroscience by : Fernando Corinto

Download or read book Nonlinear Dynamics in Computational Neuroscience written by Fernando Corinto and published by Springer. This book was released on 2018-06-19 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop “Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT,” which was held in Torino, Italy in September 2015.

Trends in Neural Computation

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Publisher : Springer
ISBN 13 : 3540361227
Total Pages : 510 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Trends in Neural Computation by : Ke Chen

Download or read book Trends in Neural Computation written by Ke Chen and published by Springer. This book was released on 2006-11-15 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trends in Neural Computation includes twenty chapters contributed by leading experts or formed by extending well-selected papers presented in the 2005 International Conference on Natural Computation. The book reviews the latest progress in a range of different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks – architectures and learning algorithms and their applications in real-world problems.

Emergent Neural Computational Architectures Based on Neuroscience

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Publisher : Springer
ISBN 13 : 3540445978
Total Pages : 587 pages
Book Rating : 4.75/5 ( download)

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Book Synopsis Emergent Neural Computational Architectures Based on Neuroscience by : Stefan Wermter

Download or read book Emergent Neural Computational Architectures Based on Neuroscience written by Stefan Wermter and published by Springer. This book was released on 2003-05-15 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.

Handbook of Neural Engineering

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Publisher : John Wiley & Sons
ISBN 13 : 0470068280
Total Pages : 681 pages
Book Rating : 4.81/5 ( download)

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Book Synopsis Handbook of Neural Engineering by : Metin Akay

Download or read book Handbook of Neural Engineering written by Metin Akay and published by John Wiley & Sons. This book was released on 2007-01-09 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Recent Advances on Soft Computing and Data Mining

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Publisher : Springer
ISBN 13 : 3319725505
Total Pages : 518 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Recent Advances on Soft Computing and Data Mining by : Rozaida Ghazali

Download or read book Recent Advances on Soft Computing and Data Mining written by Rozaida Ghazali and published by Springer. This book was released on 2018-01-11 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a systematic overview of the concepts and practical techniques that readers need to get the most out of their large-scale data mining projects and research studies. It guides them through the data-analytical thinking essential to extract useful information and obtain commercial value from the data. Presenting the outcomes of International Conference on Soft Computing and Data Mining (SCDM-2017), held in Johor, Malaysia on February 6–8, 2018, it provides a well-balanced integration of soft computing and data mining techniques. The two constituents are brought together in various combinations of applications and practices. To thrive in these data-driven ecosystems, researchers, engineers, data analysts, practitioners, and managers must understand the design choice and options of soft computing and data mining techniques, and as such this book is a valuable resource, helping readers solve complex benchmark problems and better appreciate the concepts, tools, and techniques employed.

Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology

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Publisher : Frontiers Media SA
ISBN 13 : 2889456056
Total Pages : 278 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology by : Poramate Manoonpong

Download or read book Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology written by Poramate Manoonpong and published by Frontiers Media SA. This book was released on 2018-10-11 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: How can neural and morphological computations be effectively combined and realized in embodied closed-loop systems (e.g., robots) such that they can become more like living creatures in their level of performance? Understanding this will lead to new technologies and a variety of applications. To tackle this research question, here, we bring together experts from different fields (including Biology, Computational Neuroscience, Robotics, and Artificial Intelligence) to share their recent findings and ideas and to update our research community. This eBook collects 17 cutting edge research articles, covering neural and morphological computations as well as the transfer of results to real world applications, like prosthesis and orthosis control and neuromorphic hardware implementation.

Neuroinformatics

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Author :
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 404 pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Neuroinformatics by : Fouad Sabry

Download or read book Neuroinformatics written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2022-08-04 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Neuroinformatics The fields of informatics and neurology have been combined to establish the discipline of neuroinformatics. The processing of data and information in the field of neuroscience using artificial neural networks is referred to as neuroinformatics. There are three primary areas in which neuroinformatics needs to be utilized, and they are as follows: the creation of computer models of the nervous system and the processes that take place in the brain.the creation of tools for analyzing and modeling data from the field of neuroscience, the creation of tools and databases for the management and sharing of data from the field of neuroscience at all levels of analysis, How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Neuroinformatics Chapter 2: Neuroscience Chapter 3: Mind uploading Chapter 4: Computational neuroscience Chapter 5: Bio-inspired computing Chapter 6: Neuromorphic engineering Chapter 7: Terry Sejnowski Chapter 8: Neural network Chapter 9: Krasnow Institute for Advanced Study Chapter 10: Neural computation Chapter 11: Blue Brain Project Chapter 12: International Neuroinformatics Coordinating Facility Chapter 13: Human Brain Project Chapter 14: Multi-simulation coordinator Chapter 15: Brain simulation Chapter 16: Informatics Chapter 17: Nervous system network models Chapter 18: Outline of brain mapping Chapter 19: Upinder Singh Bhalla Chapter 20: Predictive coding Chapter 21: MIT Department of Brain and Cognitive Sciences (II) Answering the public top questions about neuroinformatics. (III) Real world examples for the usage of neuroinformatics in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of neuroinformatics' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of neuroinformatics.

Emergent Neural Computational Architectures Based on Neuroscience

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Author :
Publisher : Springer
ISBN 13 : 9783540423638
Total Pages : 582 pages
Book Rating : 4.3X/5 ( download)

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Book Synopsis Emergent Neural Computational Architectures Based on Neuroscience by : Stefan Wermter

Download or read book Emergent Neural Computational Architectures Based on Neuroscience written by Stefan Wermter and published by Springer. This book was released on 2001-07-25 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.