Neural Computation In Embodied Closed Loop Systems For The Generation Of Complex Behavior From Biology To Technology eBook Download PDF

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

Author: Poramate Manoonpong

Publisher: Frontiers Media SA

Published: 2018-10-11

Total Pages: 278

ISBN-13: 2889456056

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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.

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.

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

Author:

Publisher:

Published: 2018

Total Pages: 0

ISBN-13:

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

Download or read book Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology written by and published by . This book was released on 2018 with total page 0 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.

Biology-Inspired Engineering and Engineering-Inspired Biology

Author: Jan-Matthias Braun

Publisher: Frontiers Media SA

Published: 2021-01-04

Total Pages: 165

ISBN-13: 288966340X

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Book Synopsis Biology-Inspired Engineering and Engineering-Inspired Biology by : Jan-Matthias Braun

Download or read book Biology-Inspired Engineering and Engineering-Inspired Biology written by Jan-Matthias Braun and published by Frontiers Media SA. This book was released on 2021-01-04 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Emergent Neural Computational Architectures Based on Neuroscience

Author: Stefan Wermter

Publisher: Springer

Published: 2003-05-15

Total Pages: 587

ISBN-13: 3540445978

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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.

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.

Bulletin of the Atomic Scientists

Author:

Publisher:

Published: 1972-10

Total Pages: 64

ISBN-13:

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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Book Synopsis Bulletin of the Atomic Scientists by :

Download or read book Bulletin of the Atomic Scientists written by and published by . This book was released on 1972-10 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Computation in Neurons and Neural Systems

Author: Frank H. Eeckman

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 320

ISBN-13: 1461527147

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Computation in Neurons and Neural Systems contains the collected papers of the 1993 Conference on Computation and Neural Systems which was held between July 31--August 7, in Washington, DC. These papers represent a cross-section of the state-of-the-art research work in the field of computational neuroscience, and includes coverage of analysis and modeling work as well as results of new biological experimentation.

Book Synopsis Computation in Neurons and Neural Systems by : Frank H. Eeckman

Download or read book Computation in Neurons and Neural Systems written by Frank H. Eeckman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computation in Neurons and Neural Systems contains the collected papers of the 1993 Conference on Computation and Neural Systems which was held between July 31--August 7, in Washington, DC. These papers represent a cross-section of the state-of-the-art research work in the field of computational neuroscience, and includes coverage of analysis and modeling work as well as results of new biological experimentation.

Intelligence as Adaptive Behavior

Author: B. Chandrasekaran

Publisher: Academic Press

Published: 2013-10-22

Total Pages: 240

ISBN-13: 1483288129

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The "intelligence" of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems. Provides a lucid critique of traditional artificial intelligence research programs Presents new methodology for the construction autonomous agents, which has implications for mobile robotics Of interest to researchers in a variety of fields: artificial intelligence, neural networks, robotics, cognitive science, and neuroscience

Book Synopsis Intelligence as Adaptive Behavior by : B. Chandrasekaran

Download or read book Intelligence as Adaptive Behavior written by B. Chandrasekaran and published by Academic Press. This book was released on 2013-10-22 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "intelligence" of traditional artificial intelligence systems is notoriously narrow and inflexible--incapable of adapting to the constantly changing circumstances of the real world. Although traditional artificial intelligence systems can be successful in narrowly prescribed domains, they are inappropriate for dynamic, complex domains, such as autonomous robot navigation.**This book proposes an alternative methodology for designing intelligent systems based on a model of intelligence as adaptive behavior. The author describes an experiment in computational neuroethology--the computer modeling of neuronal control of behavior--in which the nervous system for an artificial insect is modeled. The experiment demonstrates that simple, complete intelligent agents are able to cope with complex, dynamic environments--suggesting that adaptive models of intelligence, based on biological bases of adaptive behavior, may prove to be very useful in the design of intelligent, autonomous systems. Provides a lucid critique of traditional artificial intelligence research programs Presents new methodology for the construction autonomous agents, which has implications for mobile robotics Of interest to researchers in a variety of fields: artificial intelligence, neural networks, robotics, cognitive science, and neuroscience

The Neurobiology of Computation

Author: James M. Bower

Publisher: Springer

Published: 1995-07-31

Total Pages: 472

ISBN-13:

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Proceedings of the Third Annual Computation and Neural Systems Conference

Book Synopsis The Neurobiology of Computation by : James M. Bower

Download or read book The Neurobiology of Computation written by James M. Bower and published by Springer. This book was released on 1995-07-31 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the Third Annual Computation and Neural Systems Conference

Model Neural Networks and Behavior

Author: Allen Selverston

Publisher: Springer

Published: 2013-05-03

Total Pages: 548

ISBN-13: 9781475758603

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The most conspicuous function of the nervous system is to control animal behav ior. From the complex operations of learning and mentation to the molecular con figuration of ionic channels, the nervous system serves as the interface between an animal and its environment. To study and understand the fundamental mecha nisms underlying the control of behavior, it is often both necessary and desirable to employ biological systems with characteristics especially suitable for answering specific questions. In neurobiology, many invertebrates have become established as model systems for investigations at both the systems and the cellular level. Large, readily identifiable neurons have made invertebrates especially useful for cellular studies. The fact that these neurons occur in much smaller numbers than those in higher animals also makes them important for circuit analysis. Although important differences exist, some of the questions that would be tech nically impossible to answer with vertebrates can become experimentally tractable with invertebrates.

Book Synopsis Model Neural Networks and Behavior by : Allen Selverston

Download or read book Model Neural Networks and Behavior written by Allen Selverston and published by Springer. This book was released on 2013-05-03 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most conspicuous function of the nervous system is to control animal behav ior. From the complex operations of learning and mentation to the molecular con figuration of ionic channels, the nervous system serves as the interface between an animal and its environment. To study and understand the fundamental mecha nisms underlying the control of behavior, it is often both necessary and desirable to employ biological systems with characteristics especially suitable for answering specific questions. In neurobiology, many invertebrates have become established as model systems for investigations at both the systems and the cellular level. Large, readily identifiable neurons have made invertebrates especially useful for cellular studies. The fact that these neurons occur in much smaller numbers than those in higher animals also makes them important for circuit analysis. Although important differences exist, some of the questions that would be tech nically impossible to answer with vertebrates can become experimentally tractable with invertebrates.

Emergent Neural Computational Architectures Based on Neuroscience

Author: Stefan Wermter

Publisher: Springer

Published: 2001-07-25

Total Pages: 582

ISBN-13: 9783540423638

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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.