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hierarchical organization of the brain has many parallels with the hierarchical organization of computing; as in silicon computing, the complexities;
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object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data;
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object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data;
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computation in nine chapters. Because of its advanced progresses on brain-like intelligence, it is useful as a primary reference volume for;
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, which generates abstractions for a hierarchical version of the PRODIGY problem solver. Generating Abstraction Hierarchies formally defines this;
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Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing;
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of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from;
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Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning;
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This book constitutes the proceedings of the 18th International Conference on Unconventional Computation and Natural Computation, UCNC 2019;
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. Drawing on the latest scientific research, this book shows how to develop left-brain skills such as language, math, computation, and other;
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Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently;
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Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently;
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This book constitutes the proceedings of the 16th International Conference on Unconventional Computation and Natural Computation, UCNC 2017;
Vergelijkbare producten zoals Unconventional Computation and Natural Computation
as cellular nanocomputers, DNA self-assembly, and the architectural design of a nano-brain . The authors of each chapter provide in-depth;
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abstraction levels. It addresses both redundancy- and configuration-based methods as well as fault detecting techniques through the development;
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Computation, UC 2012, held in Orleans, France, during September 3-7, 2012. The 28 revised full papers presented were carefully selected from numerous;
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computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics;
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representation of group elements. This is modeled by treating the group as a black-box. The fact that a computational problem cannot be solved by a;
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the neural basis of mental health by introducing neural computation as a bridging science to explain psychiatric disorders. Peled describes;
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the neural basis of mental health by introducing neural computation as a bridging science to explain psychiatric disorders. Peled describes;
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. Additionally, this volume contains 2 invited papers. CTIC covers a wide range of topics such as: topological invariants and their computation, homology;
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dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and;
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reviewed and selected from 13 submissions. They cover topics such as: modeling and analysis of metabolic, signaling, and genetic regulatory;
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This book traces the evolution of the concept of the unconscious from an intangible, metapsychological abstraction to a;
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How can we understand a system as intricate as the human brain? Microcosms of the brain presents a bold new approach. It argues that the;
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This book constitutes the refereed proceedings of the 8th International Conference on Brain Inspired Cognitive Systems, BICS 2016, held;
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a task, goal, or belief; and its incomparable capacity for abstraction. Combining insights from such diverse fields as neuroscience;
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