Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis
Title | Brain-inspired Machine Learning and Computation for Brain-Behavior Analysis PDF eBook |
Author | Rong Chen |
Publisher | Frontiers Media SA |
Pages | 290 |
Release | 2021-04-16 |
Genre | Science |
ISBN | 2889666832 |
Exploring Future Opportunities of Brain-Inspired Artificial Intelligence
Title | Exploring Future Opportunities of Brain-Inspired Artificial Intelligence PDF eBook |
Author | Bhatia, Madhulika |
Publisher | IGI Global |
Pages | 244 |
Release | 2023-03-20 |
Genre | Computers |
ISBN | 1668469820 |
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.
Brain and Nature-Inspired Learning, Computation and Recognition
Title | Brain and Nature-Inspired Learning, Computation and Recognition PDF eBook |
Author | Licheng Jiao |
Publisher | Elsevier |
Pages | 788 |
Release | 2020-01-18 |
Genre | Technology & Engineering |
ISBN | 0128204044 |
Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception
Bio-inspired Neurocomputing
Title | Bio-inspired Neurocomputing PDF eBook |
Author | Akash Kumar Bhoi |
Publisher | Springer Nature |
Pages | 427 |
Release | 2020-07-21 |
Genre | Technology & Engineering |
ISBN | 9811554951 |
This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.
Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020
Title | Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020 PDF eBook |
Author | Alexei V. Samsonovich |
Publisher | Springer Nature |
Pages | 613 |
Release | 2020-12-08 |
Genre | Technology & Engineering |
ISBN | 3030655962 |
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.
Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms
Title | Brain-inspired Cognition and Understanding for Next-generation AI: Computational Models, Architectures and Learning Algorithms PDF eBook |
Author | Chenwei Deng |
Publisher | Frontiers Media SA |
Pages | 223 |
Release | 2023-04-19 |
Genre | Science |
ISBN | 2832521169 |
Advances in Brain Inspired Cognitive Systems
Title | Advances in Brain Inspired Cognitive Systems PDF eBook |
Author | Jinchang Ren |
Publisher | Springer |
Pages | 881 |
Release | 2018-10-05 |
Genre | Computers |
ISBN | 3030005631 |
This book constitutes the refereed proceedings of the 9th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2018, held in Xi’an, China, in July 2018. The 83 papers presented in this volume were carefully reviewed and selected from 137 submissions. The papers were organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; data analysis and natural language processing; and applications.