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Neurotechnology (Bioengineering) --- Bioengineering --- Neurosciences
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This book presents cutting-edge research and developments in the field of biomedical engineering, with a special emphasis on results achieved in Vietnam and neighboring low- and middle-income countries. Covering both fundamental and applied research, and focusing on the theme of “Translational Healthcare Technology from Advanced to Low and Middle Income Countries in the Era of Covid and Digital Transformation”, it reports on the design, fabrication, and application of low-cost and portable medical devices, biosensors, and microfluidic devices, on improved methods for biological data acquisition and analysis, on nanoparticles for biological applications, and on new achievements in biomechanics, tissue engineering, and regeneration. It describes the developments of molecular and cellular biology techniques, neuroengineering techniques, and statistical and computational methods, including artificial intelligence, for biomedical applications. It also discusses strategies to address some relevant issues in biomedical education and entrepreneurship. Gathering the proceedings of the 9th International Conference on The Development of Biomedical Engineering in Vietnam, BME 9, held on December 27-29, 2022, in Ho Chi Minh, Vietnam, the book offers important answers to current challenges in the field and a source of inspiration for scientists, engineers, and researchers with various backgrounds working in different research institutes, companies, and countries.
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The human brain is the most complex object in the known universe. The field of neuroscience has made remarkable strides in recent years in understanding aspects of the brain, yet we still struggle with seemingly fundamental questions about how the brain works. What lessons can we learn from neuroscience's successes and failures? What kinds of questions can neuroscience answer, and what will remain out of reach?In The Brain in Context, the bioethicist Jonathan D. Moreno and the neuroscientist Jay Schulkin provide an accessible and thought-provoking account of the evolution of neuroscience and the neuroscience of evolution. They emphasize that the brain is not an isolated organ-it extends into every part of the body and every aspect of human life. Understanding the brain requires studying the environmental, biological, chemical, genetic, and social factors that continue to shape it. Moreno and Schulkin describe today's transformative devices, theories, and methods, including technologies like fMRI and optogenetics as well as massive whole-brain activity maps and the attempt to create a digital simulation of the brain. They show how theorizing about the brain and experimenting with it often go hand in hand, and they raise cautions about unintended consequences of technological interventions. The Brain in Context is a stimulating and even-handed assessment of the scope and limits of what we know about how we think.
Neurosciences --- Neurotechnology (Bioengineering) --- Bioengineering --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system
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This open access book offers a timely and comprehensive review of the field of neurotronics. Gathering cutting-edge contributions from neuroscientists, biologists, psychologists, as well as physicists, microelectronics engineers and information scientists, it gives extensive information on fundamental information pathways in selected nervous systems. It also highlights their relevance as building blocks for novel computing architectures, such as bio-inspired electronic devices, neuromorphic architectures, memristive devices, adaptive sensors and emergent, pulsed-coupled oscillatory networks. All in all, this book offers a unique bridge between fundamental research in neuroscience, neural information processing, nonlinear dynamics, and self-organization, and advanced practical applications concerning the fabrication of hardware-oriented computing.
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Nanotechnological Aspects for Next-generation Wound Management provides detailed, up-to-date literature on nanotechnology's role in wound management and its applications using nanoparticles, nanocomposites, carbon-based nanostructures and nanomaterials. Scaffolds, three-dimensional approaches, skin tissue engineering, and polymer-based films are discussed to treat wounds. This one-of-a-kind reference is ideal for health practitioners, clinicians and researchers who will find the book to be excellent reference material for updates on recent trends in nanotechnology for wound management.
Nanotechnology. --- Wound healing. --- Neurotechnology (Bioengineering) --- Wounds and injuries --- Treatment. --- Wounds and Injuries --- Nanotechnology --- Nanostructures --- Regenerative Medicine --- methods --- therapeutic use
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This book takes the notions of adaptivity and learning from the realm of engineering into the realm of biology and natural processes. It introduces a Hebbian-LMS algorithm, an integration of unsupervised Hebbian learning and supervised LMS learning in neural networks, as a mathematical representation of a general theory for synaptic learning in the brain, and adaptation and functional control of homeostasis in living systems. Written in a language that is able to address students and scientists with different backgrounds, this book accompanies readers on a unique journey through various homeostatic processes in living organisms, such as body temperature control and synaptic plasticity, explaining how the Hebbian-LMS algorithm can help understand them, and suggesting some open questions for future research. It also analyses cell signalling pathways from an unusual perspective, where hormones and hormone receptors are shown to be regulated via the principles of the Hebbian-LMS algorithm. It further discusses addiction and pain, and various kinds of mood disorders alike, showing how they can be modelled with the Hebbian-LMS algorithm. For the first time, the Hebbian-LMS algorithm, which has been derived from a combination of Hebbian theory from the neuroscience field and the LMS algorithm from the engineering field of adaptive signal processing, becomes a potent model for understanding how biological regulation works. Thus, this book is breaking new ground in neuroscience by providing scientists with a general theory for how nature does control synaptic learning. It then goes beyond that, showing that the same principles apply to hormone-mediated regulation of physiological processes. In turn, the book tackles in more depth the concept of learning. It covers computer simulations and strategies for training neural networks with the Hebbian-LMS algorithm, demonstrating that the resulting algorithms are able to identify relationships between unknown input patterns. It shows how this can translate in useful ideas to understand human memory and design cognitive structures. All in all, this book offers an absolutely, unique, inspiring reading for biologists, physiologists, and engineers, paving the way for future studies on what we could call the nature's secret learning algorithm.
Discrete mathematics --- Programming --- grafentheorie --- programmeren (informatica) --- systeemtheorie --- Cybernetics. --- Cybernetics --- Neurotechnology (Bioengineering) --- Mathematical models. --- Moral and ethical aspects.
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Neurotechnology (Bioengineering) --- Neural stimulation. --- Electrophysiology. --- Nerve stimulation --- Stimulation, Neural --- Electric stimulation --- Electrodiagnosis --- Electrophysiology --- Electrotherapeutics --- Bioengineering --- Neurosciences --- Animal electricity --- Bioelectricity --- Electricity, Animal --- Electrobiology --- Neurology --- Physiology --- Electricity --- Physiological effect
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How does consciousness emerge from a brain that consists only of physical matter and electrical / chemical reactions? The deep mysteries of consciousness have plagued philosophers and scientists for thousands of years. This book approaches the problem through scientific studies that shed light on the neural mechanism of consciousness, and furthermore, delves into the possibility of artificial consciousness, a phenomenon that may ultimately solve the mystery. Finally, two key suggestions made in the book, namely, a method to test machine consciousness and a theory hypothesizing that consciousness emerges from a neural algorithm, reveal a novel and credible pathway to mind-uploading.
Cognitive psychology --- Psychology --- General biophysics --- Zoology --- Neuropathology --- biofysica --- neurologie --- cognitieve psychologie --- neuropsychologie --- persoonlijkheidsleer --- zoölogie --- Neurotechnology (Bioengineering) --- Consciousness. --- Neurosciences. --- Theory of knowledge --- Consciència --- Bioenginyeria --- Neurologia
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This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well as some basic background material in statistics that are necessary for the equation derivations that are utilized in subsequent chapters. The subsequent chapters focus on different state-space models and provides step-by-step explanations on how to build the corresponding Bayesian filters. Each of the main chapters that describes a single state-space model also describes the corresponding MATLAB code examples at the end. Descriptions are also provided regarding the code. The code contains both simulated and experimental data examples. All the experimental data examples are taken from real-world experiments. The experiments involve the recording of skin conductance, heart rate and blood cortisol data. A MATLAB toolbox of code examples that cover the different filters covered in the book is included in a companion webpage. The book is primarily intended for graduate students in either electrical engineering or biomedical engineering who will be beginning research in state estimation related to point process data or mixed data (i.e., point processes and other types of observations). The book can also be used by practicing researchers who measure skin conductance and heart rate or pulsatile hormones in their own work (e.g. in psychology). This is an open access book.
Computational neuroscience. --- Neurotechnology (Bioengineering). --- Biomedical engineering. --- Signal processing. --- Biophysics. --- Cell interaction. --- Computational Neuroscience. --- Neuroengineering. --- Biomedical Engineering and Bioengineering. --- Digital and Analog Signal Processing. --- Mechanobiological Cell Signaling.
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The International Congress on Neurotechnology, Electronics, and Informatics (NEUROTECHNIX) took place in Algarve, Portugal in September of 2013. The congress provided a meeting point of academics and clinical and engineering professionals, promoting translational discussions on how research and technology can meet the needs of clinical practitioners and patients. NEUROTECHNIX emphasized research and application of neurotechnologies to various neurological disorders, including neuromuscular diseases, Parkinson's disease, developmental disorders, dementia, epilepsy, sleep disorders, Multiple Sclerosis, neuroinfections, brain tumors, stroke, traumatic brain injuries, Cerebral Palsy, spinal cord injury, and vision and hearing disorders. Authors were invited to submit innovative research work that highlighted new advancements of neurotechnology. Papers describing case studies, advanced prototypes, systems, tools and techniques, and general survey papers indicating future directions were encouraged. This book contains a limited selection of extended and revised versions of the best papers presented at the congress, by regular and keynote speakers.
Biomedicine. --- Neurosciences. --- Biomedical Engineering. --- Neurology. --- Medicine. --- Biomedical engineering. --- Médecine --- Neurosciences --- Neurologie --- Génie biomédical --- Computer science -- Congresses. --- Electronics -- Congresses. --- Neurotechnology (Bioengineering) -- Congresses. --- Medicine --- Health & Biological Sciences --- Neurology --- Electronics --- Neurotechnology (Bioengineering) --- Computer science --- Bioengineering --- Biomedical Engineering and Bioengineering. --- Nervous system --- Neuropsychiatry --- Clinical engineering --- Medical engineering --- Biophysics --- Engineering --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Diseases --- Neurology .
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