ISBN: 9798170954278 - computational brain engineering: models, neural systems, imaging, and intelligent medical technologies (6 resultados)

Taschenbuch. Condición: Neu. Neuware - COMPUTATIONAL BRAIN ENGINEERING The human brain is one of the most complex systems studied across science and engineering. Understanding its structure and behavior increasingly involves computational models, neural signal analysis, imaging technologies, artificial intelligence, and engineered systems that interact with neural processes.COMPUTATIONAL BRAIN ENGINEERING explores the intersection of computational methods, neural systems, brain imaging, and intelligent medical technologies. The book examines how engineering and computational approaches can be used to model neural activity, analyze brain-related information, and develop technologies for studying the nervous system. Readers will explore: - Fundamentals of computational brain engineering- Computational models of neural systems- Neural networks and representations of brain activity- Brain imaging technologies and computational analysis- Neural signal processing and data interpretation- Mathematical and computational approaches to neuroscience- Brain-computer interface concepts- Neuroengineering systems and biomedical technologies- Artificial intelligence applications in brain research- Computational approaches to understanding neural behavior- Engineering challenges in brain-related technologies>The book presents brain engineering as an interdisciplinary field where neuroscience, computer science, electrical engineering, biomedical engineering, and data analysis intersect.Computational models can provide ways to represent complex neural processes, while imaging and signal-processing technologies can produce information that researchers use to investigate brain structure and activity. Engineering systems can then connect these computational methods with practical research and healthcare applications.For engineering students, computer scientists, biomedical researchers, neuroscience students, healthcare technology professionals, and readers interested in computational approaches to the brain, COMPUTATIONAL BRAIN ENGINEERING provides a structured exploration of the concepts and technologies connecting neural science with modern engineering. The book is intended for educational and technical purposes. It does not provide medical advice, diagnosis, or treatment recommendations. Clinical applications of brain-related technologies require appropriate professional expertise, validation, and regulatory oversight. …

Paperback. Condición: new. Paperback. COMPUTATIONAL BRAIN ENGINEERING The human brain is one of the most complex systems studied across science and engineering. Understanding its structure and behavior increasingly involves computational models, neural signal analysis, imaging technologies, artificial intelligence, and engineered systems that interact with neural processes.COMPUTATIONAL BRAIN ENGINEERING explores the intersection of computational methods, neural systems, brain imaging, and intelligent medical technologies. The book examines how engineering and computational approaches can be used to model neural activity, analyze brain-related information, and develop technologies for studying the nervous system. Readers will explore: - Fundamentals of computational brain engineering- Computational models of neural systems- Neural networks and representations of brain activity- Brain imaging technologies and computational analysis- Neural signal processing and data interpretation- Mathematical and computational approaches to neuroscience- Brain-computer interface concepts- Neuroengineering systems and biomedical technologies- Artificial intelligence applications in brain research- Computational approaches to understanding neural behavior- Engineering challenges in brain-related technologies- The relationship between neuroscience, computing, and medical engineering The book presents brain engineering as an interdisciplinary field where neuroscience, computer science, electrical engineering, biomedical engineering, and data analysis intersect.Computational models can provide ways to represent complex neural processes, while imaging and signal-processing technologies can produce information that researchers use to investigate brain structure and activity. Engineering systems can then connect these computational methods with practical research and healthcare applications.For engineering students, computer scientists, biomedical researchers, neuroscience students, healthcare technology professionals, and readers interested in computational approaches to the brain, COMPUTATIONAL BRAIN ENGINEERING provides a structured exploration of the concepts and technologies connecting neural science with modern engineering. The book is intended for educational and technical purposes. It does not provide medical advice, diagnosis, or treatment recommendations. Clinical applications of brain-related technologies require appropriate professional expertise, validation, and regulatory oversight. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condición: new. Paperback. COMPUTATIONAL BRAIN ENGINEERING The human brain is one of the most complex systems studied across science and engineering. Understanding its structure and behavior increasingly involves computational models, neural signal analysis, imaging technologies, artificial intelligence, and engineered systems that interact with neural processes.COMPUTATIONAL BRAIN ENGINEERING explores the intersection of computational methods, neural systems, brain imaging, and intelligent medical technologies. The book examines how engineering and computational approaches can be used to model neural activity, analyze brain-related information, and develop technologies for studying the nervous system. Readers will explore: - Fundamentals of computational brain engineering- Computational models of neural systems- Neural networks and representations of brain activity- Brain imaging technologies and computational analysis- Neural signal processing and data interpretation- Mathematical and computational approaches to neuroscience- Brain-computer interface concepts- Neuroengineering systems and biomedical technologies- Artificial intelligence applications in brain research- Computational approaches to understanding neural behavior- Engineering challenges in brain-related technologies- The relationship between neuroscience, computing, and medical engineering The book presents brain engineering as an interdisciplinary field where neuroscience, computer science, electrical engineering, biomedical engineering, and data analysis intersect.Computational models can provide ways to represent complex neural processes, while imaging and signal-processing technologies can produce information that researchers use to investigate brain structure and activity. Engineering systems can then connect these computational methods with practical research and healthcare applications.For engineering students, computer scientists, biomedical researchers, neuroscience students, healthcare technology professionals, and readers interested in computational approaches to the brain, COMPUTATIONAL BRAIN ENGINEERING provides a structured exploration of the concepts and technologies connecting neural science with modern engineering. The book is intended for educational and technical purposes. It does not provide medical advice, diagnosis, or treatment recommendations. Clinical applications of brain-related technologies require appropriate professional expertise, validation, and regulatory oversight. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …