This state-of-the-art survey contains selected papers contributed by researchers in intelligent systems, cognitive robotics, and neuroscience including contributions from the MirrorBot project and from the NeuroBotics Workshop 2004. The research work presented demonstrates significant novel developments in biologically inspired neural models for use in intelligent robot environments and biomimetic cognitive behavior.
Biomimetic Neural Learning for Intelligent Robots
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Inside This Book
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First Sentence:
Many classical robot systems ignore biological inspiration and so do not perform in a robust learned manner. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
biomimetic neural learning, modular neural architecture, path generator module, mirror neuron system, intentional attunement, based approximators, student robot, find red box, biomimetic robots, reflex module, thalamic layer, adult robot, homing methods, idiothetic input, capture grid, cortical stripe, pointing interpretation, embodied simulation, desired landmark, global navigation strategy, neurocognitive evidence, home vector, azimuth estimation, inverse module, warping method Key Phrases - Capitalized Phrases (CAPs): (learn more)
Berlin Heidelberg, Journal of Neuroscience, New York, Biological Cybernetics, Cambridge University Press, Oxford University Press, Neural Computation, University of Ulm, Department of Neural Information, International Workshop, Ulm Sparrows, University of Sunderland, Artificial Life, Neural Information Processing Systems, Springer Verlag, Brain Res, Current Opinion, Epigenetic Robotics, Germany Abstract, Inhibition Inhibition, Lawrence Erlbaum Associates, Modeling Cognitive Development, Nature Neuroscience, Springer-Verlag Heidelberg, European Union New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Many classical robot systems ignore biological inspiration and so do not perform in a robust learned manner. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
biomimetic neural learning, modular neural architecture, path generator module, mirror neuron system, intentional attunement, based approximators, student robot, find red box, biomimetic robots, reflex module, thalamic layer, adult robot, homing methods, idiothetic input, capture grid, cortical stripe, pointing interpretation, embodied simulation, desired landmark, global navigation strategy, neurocognitive evidence, home vector, azimuth estimation, inverse module, warping method Key Phrases - Capitalized Phrases (CAPs): (learn more)
Berlin Heidelberg, Journal of Neuroscience, New York, Biological Cybernetics, Cambridge University Press, Oxford University Press, Neural Computation, University of Ulm, Department of Neural Information, International Workshop, Ulm Sparrows, University of Sunderland, Artificial Life, Neural Information Processing Systems, Springer Verlag, Brain Res, Current Opinion, Epigenetic Robotics, Germany Abstract, Inhibition Inhibition, Lawrence Erlbaum Associates, Modeling Cognitive Development, Nature Neuroscience, Springer-Verlag Heidelberg, European Union New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 56
books:
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- Self-Organizing Maps by Teuvo Kohonen on 4 pages
- Reinforcement Learning (The Springer International Series in Engineering and Computer Science) by Richard S. Sutton on page 223, page 244, and page 262
- The Handbook of Brain Theory and Neural Networks (A Bradford Book) by Michael A. Arbib on page 70, and page 332
- Advances in Neural Information Processing Systems 12 by Sara A. Solla on page 244, and page 263
- Intelligent Robots and Systems by V. Graefe on page 244, and page 361
See all 56 books this book cites
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