Author: Wenfeng Wang
Publisher: Springer
ISBN: 9811335494
Category : Technology & Engineering
Languages : en
Pages : 166
Book Description
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.
Brain-Inspired Intelligence and Visual Perception
Author: Wenfeng Wang
Publisher: Springer
ISBN: 9811335494
Category : Technology & Engineering
Languages : en
Pages : 166
Book Description
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.
Publisher: Springer
ISBN: 9811335494
Category : Technology & Engineering
Languages : en
Pages : 166
Book Description
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.
Brain-Inspired Computing
Author: Katrin Amunts
Publisher: Springer Nature
ISBN: 3030824276
Category : Computers
Languages : en
Pages : 159
Book Description
This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.
Publisher: Springer Nature
ISBN: 3030824276
Category : Computers
Languages : en
Pages : 159
Book Description
This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.
Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020
Author: Alexei V. Samsonovich
Publisher: Springer Nature
ISBN: 3030655962
Category : Technology & Engineering
Languages : en
Pages : 613
Book Description
The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
Publisher: Springer Nature
ISBN: 3030655962
Category : Technology & Engineering
Languages : en
Pages : 613
Book Description
The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.
Exploring Future Opportunities of Brain-Inspired Artificial Intelligence
Author: Bhatia, Madhulika
Publisher: IGI Global
ISBN: 1668469820
Category : Computers
Languages : en
Pages : 244
Book Description
Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
Publisher: IGI Global
ISBN: 1668469820
Category : Computers
Languages : en
Pages : 244
Book Description
Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
Visual Intelligence
Author: Donald D Hoffman
Publisher: W. W. Norton & Company
ISBN: 9780393319675
Category : Science
Languages : en
Pages : 324
Book Description
In an informal style replete with illustrations, Hoffman presents the compelling scientific evidence for vision's constructive powers unveiling a grammar of vision--a set of rules that govern our perception of line, color, form, depth, and motion. 150 illustrations, 20 in color.
Publisher: W. W. Norton & Company
ISBN: 9780393319675
Category : Science
Languages : en
Pages : 324
Book Description
In an informal style replete with illustrations, Hoffman presents the compelling scientific evidence for vision's constructive powers unveiling a grammar of vision--a set of rules that govern our perception of line, color, form, depth, and motion. 150 illustrations, 20 in color.
Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
Author: Nikola K. Kasabov
Publisher: Springer
ISBN: 3662577151
Category : Technology & Engineering
Languages : en
Pages : 738
Book Description
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Publisher: Springer
ISBN: 3662577151
Category : Technology & Engineering
Languages : en
Pages : 738
Book Description
Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI systems are illustrated on: cognitive brain data, including EEG, fMRI and DTI; audio-visual data; brain-computer interfaces; personalized modelling in bio-neuroinformatics; multisensory streaming data modelling in finance, environment and ecology; data compression; neuromorphic hardware implementation. Future directions, such as the integration of multiple modalities, such as quantum-, molecular- and brain information processing, is presented in the last chapter. The book is a research book for postgraduate students, researchers and practitioners across wider areas, including computer and information sciences, engineering, applied mathematics, bio- and neurosciences.
Advances in Brain, Vision, and Artificial Intelligence
Author: Francesco Mele
Publisher: Springer
ISBN: 3540755551
Category : Computers
Languages : en
Pages : 618
Book Description
This book constitutes the refereed proceedings of the Second International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2007. Coverage includes: basic models in visual sciences, cortical mechanism of vision, color processing in natural vision, action oriented vision, visual recognition and attentive modulation, biometric recognition, image segmentation and recognition, disparity calculation and noise analysis, meaning-interaction-emotion, and robot navigation.
Publisher: Springer
ISBN: 3540755551
Category : Computers
Languages : en
Pages : 618
Book Description
This book constitutes the refereed proceedings of the Second International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2007. Coverage includes: basic models in visual sciences, cortical mechanism of vision, color processing in natural vision, action oriented vision, visual recognition and attentive modulation, biometric recognition, image segmentation and recognition, disparity calculation and noise analysis, meaning-interaction-emotion, and robot navigation.
Interdisciplinary Evolution of the Machine Brain
Author: Wenfeng Wang
Publisher: Springer Nature
ISBN: 9813342447
Category : Technology & Engineering
Languages : en
Pages : 154
Book Description
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
Publisher: Springer Nature
ISBN: 9813342447
Category : Technology & Engineering
Languages : en
Pages : 154
Book Description
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
Neural Information Processing
Author: Bao-Liang Lu
Publisher: Springer
ISBN: 3642249558
Category : Computers
Languages : en
Pages : 752
Book Description
The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.
Publisher: Springer
ISBN: 3642249558
Category : Computers
Languages : en
Pages : 752
Book Description
The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.
In Consciousness we Trust
Author: Hakwan Lau
Publisher: Oxford University Press
ISBN: 0192598805
Category : Psychology
Languages : en
Pages : 352
Book Description
In Consciousness We Trust is a synthesis of Hakwan Lau's 20-year research programme exploring the neuroscience of consciousness. Discussing studies from his own laboratory, Lau uses various neuroscience techniques to address challenging philosophical questions about the nature of our subjective experience. Considering the qualitative nature of subjective experience, the book reviews the current cognitive neuroscience literature on conscious perception, attention, and metacognition and puts forward a mechanistic account of experience through the context of personal journey. Chapters cover different major theoretical positions, to relate the nature of consciousness to relevant phenomena such as attention, metacognition, rational control, emotion, and sense of agency. This is a must-read for graduate students and researchers in cognitive neuroscience and philosophy, and an important contribution to the consciousness literature. This is an open access title available under the terms of a [CC BY-NC-ND 4.0 International] licence.
Publisher: Oxford University Press
ISBN: 0192598805
Category : Psychology
Languages : en
Pages : 352
Book Description
In Consciousness We Trust is a synthesis of Hakwan Lau's 20-year research programme exploring the neuroscience of consciousness. Discussing studies from his own laboratory, Lau uses various neuroscience techniques to address challenging philosophical questions about the nature of our subjective experience. Considering the qualitative nature of subjective experience, the book reviews the current cognitive neuroscience literature on conscious perception, attention, and metacognition and puts forward a mechanistic account of experience through the context of personal journey. Chapters cover different major theoretical positions, to relate the nature of consciousness to relevant phenomena such as attention, metacognition, rational control, emotion, and sense of agency. This is a must-read for graduate students and researchers in cognitive neuroscience and philosophy, and an important contribution to the consciousness literature. This is an open access title available under the terms of a [CC BY-NC-ND 4.0 International] licence.