Bio-Inspired Technologies for the Hardware of Adaptive Systems

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Publisher : Springer
ISBN 13 : 3540769951
Total Pages : 202 pages
Book Rating : 4.58/5 ( download)

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Book Synopsis Bio-Inspired Technologies for the Hardware of Adaptive Systems by : Mircea Gh. Negoita

Download or read book Bio-Inspired Technologies for the Hardware of Adaptive Systems written by Mircea Gh. Negoita and published by Springer. This book was released on 2009-01-21 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.

Bio-Inspired Technologies for the Hardware of Adaptive Systems

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540769943
Total Pages : 202 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis Bio-Inspired Technologies for the Hardware of Adaptive Systems by : Mircea Gh. Negoita

Download or read book Bio-Inspired Technologies for the Hardware of Adaptive Systems written by Mircea Gh. Negoita and published by Springer Science & Business Media. This book was released on 2009-03-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolvable Hardware (EHW) has emerged as a sub-domain of artificial evolution represented by a design methodology (consortium of methods) involving the application of Evolutionary Algorithms (EA) to the synthesis of digital and analogue electronic circuits and systems. Nevertheless, the most benefit for the society and indeed most revolutionizing application of EA is its hardware implementation leading to the EHW. These new EA based methodologies led to a new type of machines that is evolved to attain a desired behaviour, which means they have a behavioural computational intelligence. EHW is a special case of the adaptive hardware, namely being strongly related to the Adaptive Systems (AS) and the Adaptive Hardware (AH). The book presents a careful selection of the field that very well reflects the breadth of this high technology and its terminology and applications in context of the AS/AH. The harmonious symbiosis of the engineering approach and the accurate scientific methodology features the aspects of highly relevant and practical design principles governing the development of EHW and its connections with AS/AH. This book is both attractive and useful for everybody interested in the design and analysis of EHW in context of AS/AH and implementation of real time adaptive hardware hybrid intelligent systems.

Biophysically based Computational Models of Astrocyte ~ Neuron Coupling and their Functional Significance

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Author :
Publisher : Frontiers E-books
ISBN 13 : 2889191788
Total Pages : 140 pages
Book Rating : 4.89/5 ( download)

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Book Synopsis Biophysically based Computational Models of Astrocyte ~ Neuron Coupling and their Functional Significance by : John Wade

Download or read book Biophysically based Computational Models of Astrocyte ~ Neuron Coupling and their Functional Significance written by John Wade and published by Frontiers E-books. This book was released on 2014-03-21 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuroscientists are increasingly becoming more interested in modelling brain functions where capturing the biophysical mechanisms underpinning these functions requires plausible models at the level of neuron cells. However, cell level models are still very much in the embryo stage and therefore there is a need to advance the level of biological realism at the level of neurons/synapses. Recent publications have highlighted that astrocytes continually exchange information with multiple synapses; if we are to fully appreciate this dynamic and coordinated interplay between these cells then more research on bidirectional signalling between astrocytes and neurons is required. A better understanding of astrocyte-neuron cell coupling would provide the building block for studying the regulatory capability of astrocytes networks on a large scale. For example, it is believed that local and global signalling via astrocytes underpins brain functions like synchrony, learning, memory and self repair. This Research Topic aims to report on current research work which focuses on understanding and modelling the interaction between astrocytes and neurons at the cellular level (Bottom up) and at network level (Top down). Understanding astrocytic regulation of neural activity is crucial if we are to capture how information is represented and processed across large neuronal ensembles in humans.

Bio-Inspired Artificial Intelligence

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Publisher : MIT Press
ISBN 13 : 0262547732
Total Pages : 674 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Bio-Inspired Artificial Intelligence by : Dario Floreano

Download or read book Bio-Inspired Artificial Intelligence written by Dario Floreano and published by MIT Press. This book was released on 2023-04-04 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.

Bio-Inspired Computation and Complex Adaptive System in Engineering

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Author :
Publisher :
ISBN 13 : 9780692858097
Total Pages : pages
Book Rating : 4.91/5 ( download)

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Book Synopsis Bio-Inspired Computation and Complex Adaptive System in Engineering by : Hanning Chen

Download or read book Bio-Inspired Computation and Complex Adaptive System in Engineering written by Hanning Chen and published by . This book was released on 2017-04-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Biomimetics

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Publisher : CRC Press
ISBN 13 : 1420037714
Total Pages : 579 pages
Book Rating : 4.15/5 ( download)

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Book Synopsis Biomimetics by : Yoseph Bar-Cohen

Download or read book Biomimetics written by Yoseph Bar-Cohen and published by CRC Press. This book was released on 2005-11-02 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature is the world's foremost designer. With billions of years of experience and boasting the most extensive laboratory available, it conducts research in every branch of engineering and science. Nature's designs and capabilities have always inspired technology, from the use of tongs and tweezers to genetic algorithms and autonomous legged robots.

Bioinspired Devices

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Publisher : Harvard University Press
ISBN 13 : 0674981936
Total Pages : 424 pages
Book Rating : 4.35/5 ( download)

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Book Synopsis Bioinspired Devices by : Eugene C. Goldfield

Download or read book Bioinspired Devices written by Eugene C. Goldfield and published by Harvard University Press. This book was released on 2018-01-08 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Eugene Goldfield lays out principles of engineering found in the natural world, with a focus on how components of coordinated structures organize themselves into autonomous functional systems. This self-organizing capacity is one of many qualities which can be harnessed to design technologies that can interact seamlessly with human bodies.

The British National Bibliography

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Author :
Publisher :
ISBN 13 :
Total Pages : 1922 pages
Book Rating : 4.78/5 ( download)

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Book Synopsis The British National Bibliography by : Arthur James Wells

Download or read book The British National Bibliography written by Arthur James Wells and published by . This book was released on 2009 with total page 1922 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Nature

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Author :
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 280 pages
Book Rating : 4.63/5 ( download)

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Book Synopsis Machine Nature by : Moshe Sipper

Download or read book Machine Nature written by Moshe Sipper and published by McGraw-Hill Companies. This book was released on 2002 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer scientist Moshe Sipper takes readers on a thrilling journey to the terra nova of computing to provide a compelling look at cutting-edge computers, robots, and machines now and in the decades ahead.

Brainware

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Publisher : World Scientific
ISBN 13 : 9812810250
Total Pages : 245 pages
Book Rating : 4.50/5 ( download)

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Book Synopsis Brainware by : Tsutomu Miki

Download or read book Brainware written by Tsutomu Miki and published by World Scientific. This book was released on 2001 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human brain, the ultimate intelligent processor, can handle ambiguous and uncertain information adequately. The implementation of such a human-brain architecture and function is called OC brainwareOCO. Brainware is a candidate for the new tool that will realize a human-friendly computer society. As one of the LSI implementations of brainware, a OC bio-inspiredOCO hardware system is discussed in this book. Consisting of eight enriched versions of papers selected from IIZUKA ''98, this volume provides wide coverage, from neuronal function devices to vision systems, chaotic systems, and also an effective design methodology of hierarchical large-scale neural systems inspired by neuroscience. It can serve as a reference for graduate students and researchers working in the field of brainware. It is also a source of inspiration for research towards the realization of a silicon brain. Contents: Neuron MOS Transistor: The Concept and Its Application (T Shibata); Adaptive Learning Neuron Integrated Circuits Using Ferroelectric-Gate FETs (S-M Yoon et al.); An AnalogOCoDigital Merged Circuit Architecture Using PWM Techniques for Bio-Inspired Nonlinear Dynamical Systems (T Morie et al.); Application-Driven Design of Bio-Inspired Low-Power Vision Circuits and Systems (A KAnig et al.); Motion Detection with Bio-Inspired Analog MOS Circuits (H Yonezu et al.); cents MOS Cellular-Automaton Circuit for Picture Processing (M Ikebe & Y Amemiya); Semiconductor Chaos-Generating Elements of Simple Structure and Their Integration (K Hoh et al.); Computation in Single Neuron with Dendritic Trees (N Katayama et al.). Readership: Graduate students, researchers and industrialists in artificial intelligence, neural networks, machine perception, computer vision, pattern/handwriting recognition, image analysis and biocomputing."