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Advanced Deep Transfer Leveraged Studies On Brain Computer Interfacing
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Book Synopsis Advanced Deep-Transfer-Leveraged Studies on Brain-Computer Interfacing by : Yizhang Jiang
Download or read book Advanced Deep-Transfer-Leveraged Studies on Brain-Computer Interfacing written by Yizhang Jiang and published by Frontiers Media SA. This book was released on 2021-10-13 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Brain-Computer Interface written by and published by BoD – Books on Demand. This book was released on 2022-05-18 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-computer interfacing (BCI) with the use of advanced artificial intelligence identification is a rapidly growing new technology that allows a silently commanding brain to manipulate devices ranging from smartphones to advanced articulated robotic arms when physical control is not possible. BCI can be viewed as a collaboration between the brain and a device via the direct passage of electrical signals from neurons to an external system. The book provides a comprehensive summary of conventional and novel methods for processing brain signals. The chapters cover a range of topics including noninvasive and invasive signal acquisition, signal processing methods, deep learning approaches, and implementation of BCI in experimental problems.
Author :Toshihisa Tanaka Publisher :Institution of Engineering and Technology ISBN 13 :1785613987 Total Pages :355 pages Book Rating :4.7/5 (856 download)
Book Synopsis Signal Processing and Machine Learning for Brain-Machine Interfaces by : Toshihisa Tanaka
Download or read book Signal Processing and Machine Learning for Brain-Machine Interfaces written by Toshihisa Tanaka and published by Institution of Engineering and Technology. This book was released on 2018-09 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces signal processing and machine learning techniques for Brain Machine Interfacing/Brain Computer Interfacing (BMI/BCI), and their practical and future applications in neuroscience, medicine, and rehabilitation. This is an emerging and challenging technology in engineering, computing, machine learning, neuroscience and medicine, and so the book will interest researchers, engineers, professionals and specialists from all of these areas who need to know more about cutting edge technologies in the fields.
Book Synopsis Brain Computer Interface by : Fouad Sabry
Download or read book Brain Computer Interface written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2021-01-20 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of interfacing minds with computers has captured human imagination for a long time. Recent developments in neuroscience and engineering have made this concept a possibility, opening the door to restoring and potentially growing human physical and mental capabilities. Medical applications such as cochlear implants for deaf patients and deep brain stimulation for Parkinson's disease are becoming increasingly common. Brain-computer interfaces (BCIs) (also known as brain-machine interfaces or BMIs) are currently being explored in applications as diverse as defense, lie detection, alertness monitoring, telepresence, gaming, education, art, and human enhancement. By the end of reading this book, you will master the discussion about the following topics of Brain Computer Interface: Definitions UCLA and DARPA Neuro-Prosthetics Applications Neuromodulation History Electroencephalography (EEG) Brain Computer Interface challenge Brain/Neural Computer Interaction (BNCI) project Contingent Negative Variation (CNV) The Brain Computer Interface Society BCI Versus Neuro Prosthetics Animal Brain Computer Interface Research Phillip Kennedy's Research Yang Dan's Research Miguel Nicolelis' Research Donoghue, Schwartz, Andersen Research Carmena and colleagues Research Lebedev and colleagues Research General-Purpose Brain Computer Interface Research Framework Brain Machine Interface (BMI) Passive Brain Computer Interface Invasive Brain Computer Interfaces Treat Non-Congenital Blindness Restore Mobility in Disabled Individuals Partially invasive Brain Computer Interfaces Electrocorticography (ECoG) Light Reactive Imaging Brain Computer Interface Non-invasive Brain Computer Interface Non-Electroencephalography (EEG)-based brain–computer interface Pupil-Size Oscillation Functional Near Infrared Spectroscopy Electroencephalography (EEG)-based brain-computer interface Advanced Functional Neuroimaging Dry Active Electrode Array SSVEP Mobile Electroencephalography (EEG) Brain Computer Interface Cellular-based Brain Computer Interface Mobile Brain Computer Interface Devices Limitations Prosthesis and Regulation of the World Brain Computer Interface in Military Do It Yourself and Open-Source Brain Machine Interface Open Brain Programming Interface Reconstruction of Human Vision Brain Computer Interface Control Strategies in Neurogaming Motor Imagery Bio/Neurofeedback for Passive Brain Computer Interface Visual Evoked Potential (VEP) Synthetic telepathy/silent communication DARPA Silent Talk Objective Brain-Based Communication Using Imagined Speech First Direct Electronic Contact Experiment Conducted Between Two Humans' Nervous Systems Produce Morse Code Using Electroencephalography (EEG) Transmission of Electroencephalography (EEG) Signals Over the Internet Cell-Culture Brain Computer InterfaceS Caltech First Neurochip Artificial or Prosthetic Hippocampus Neurochip Rat Brain Neurons Fly an F-22 Fighter Jet Aircraft Simulator Ethical Considerations Current Brain Machine Interfacess Are Away from The Ethical Problems Brain Computer Interface In Medical and Pharmaceutical Research Low-cost Brain Computer Interface Sony 2006 NeuroSky 2007 OCZ 2008 Final Fantasy 2008 Uncle Milton Industries 2009 Emotiv 2009 Neurowear's "Necomimi" 2012 They Shall Walk 2014 Open-Source Brain Computer Interface 2016 Neuralink 2020 Future directions Disorders of consciousness (DOC) Motor Recovery Functional Brain Mapping Flexible Devices Neural Dust
Book Synopsis Toward Brain-computer Interfacing by : Guido Dornhege
Download or read book Toward Brain-computer Interfacing written by Guido Dornhege and published by MIT Press (MA). This book was released on 2007 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a timely overview of the latest BCI research, with contributions from many of the important research groups in the field.
Book Synopsis Advanced Computational Intelligence Methods for Processing Brain Imaging Data by : Kaijian Xia
Download or read book Advanced Computational Intelligence Methods for Processing Brain Imaging Data written by Kaijian Xia and published by Frontiers Media SA. This book was released on 2022-11-09 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Brain-Computer Interface Research by : Christoph Guger
Download or read book Brain-Computer Interface Research written by Christoph Guger and published by Springer. This book was released on 2017-04-29 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the prize-winning brain-computer-interface (BCI) projects honored in the community's most prestigious annual award. BCIs enable people to communicate and control their limbs and/or environment using thought processes alone. Research in this field continues to develop and expand rapidly, with many new ideas, research groups, and improved technologies having emerged in recent years. The chapters in this volume feature the newest developments from many of the best labs worldwide. They present both non-invasive systems (based on the EEG) and intracortical methods (based on spikes or ECoG), and numerous innovative applications that will benefit new user groups
Book Synopsis EEG Signal Analysis and Classification by : Siuly Siuly
Download or read book EEG Signal Analysis and Classification written by Siuly Siuly and published by Springer. This book was released on 2017-01-03 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developed methodologies that have been tested on several real-time benchmark databases. This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals. /div
Book Synopsis Augmented Cognition by : Dylan D. Schmorrow
Download or read book Augmented Cognition written by Dylan D. Schmorrow and published by Springer Nature. This book was released on with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Machine Learning Approaches for Brain Mapping by : Dajiang Zhu
Download or read book Advanced Machine Learning Approaches for Brain Mapping written by Dajiang Zhu and published by Frontiers Media SA. This book was released on 2024-04-10 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain mapping is dedicated to using brain imaging techniques such as MRI, CT, PET, EEG, and fNIRS to understand the brain anatomy, structure, and function, and how it contributes to cognition, behavior, and deficits of brain diseases. Recently, machine learning is in a stage of rapid development, and various new technologies are continuously introduced into the field, from traditional approaches
Book Synopsis Artificial Intelligence by : Lavanya Sharma
Download or read book Artificial Intelligence written by Lavanya Sharma and published by CRC Press. This book was released on 2021-10-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.
Book Synopsis Brain-Computer Interfaces by : Aboul Ella Hassanien
Download or read book Brain-Computer Interfaces written by Aboul Ella Hassanien and published by Springer. This book was released on 2014-11-01 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The success of a BCI system depends as much on the system itself as on the user’s ability to produce distinctive EEG activity. BCI systems can be divided into two groups according to the placement of the electrodes used to detect and measure neurons firing in the brain. These groups are: invasive systems, electrodes are inserted directly into the cortex are used for single cell or multi unit recording, and electrocorticography (EcoG), electrodes are placed on the surface of the cortex (or dura); noninvasive systems, they are placed on the scalp and use electroencephalography (EEG) or magnetoencephalography (MEG) to detect neuron activity. The book is basically divided into three parts. The first part of the book covers the basic concepts and overviews of Brain Computer Interface. The second part describes new theoretical developments of BCI systems. The third part covers views on real applications of BCI systems.
Book Synopsis Advanced Computing and Intelligent Technologies by : Rabindra Nath Shaw
Download or read book Advanced Computing and Intelligent Technologies written by Rabindra Nath Shaw and published by Springer Nature. This book was released on with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Neuroengineering by : Nitish V. Thakor
Download or read book Handbook of Neuroengineering written by Nitish V. Thakor and published by Springer Nature. This book was released on 2023-02-02 with total page 3686 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.
Download or read book Brain-Computer Interfaces written by and published by Elsevier. This book was released on 2020-03-10 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-Computer Interfacing, Volume 168, not only gives readers a clear understanding of what BCI science is currently offering, but also describes future expectations for restoring lost brain function in patients. In-depth technological chapters are aimed at those interested in BCI technologies and the nature of brain signals, while more comprehensive summaries are provided in the more applied chapters. Readers will be able to grasp BCI concepts, understand what needs the technologies can meet, and provide an informed opinion on BCI science. Explores how many different causes of disability have similar functional consequences (loss of mobility, communication etc.) Addresses how BCI can be of use Presents a multidisciplinary review of BCI technologies and the opportunities they provide for people in need of a new kind of prosthetic Offers a comprehensive, multidisciplinary review of BCI for researchers in neuroscience and traumatic brain injury that is also ideal for clinicians in neurology and neurosurgery
Book Synopsis Hands-On Transfer Learning with Python by : Dipanjan Sarkar
Download or read book Hands-On Transfer Learning with Python written by Dipanjan Sarkar and published by Packt Publishing Ltd. This book was released on 2018-08-31 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep learning models with transfer learning principles in Python implement transfer learning to solve real-world research problems Perform complex operations such as image captioning neural style transfer Book Description Transfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP). By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems. What you will learn Set up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL models Explore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functions Get to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLP Who this book is for Hands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.
Book Synopsis Brain-Computer Interfaces by : Jonathan Wolpaw
Download or read book Brain-Computer Interfaces written by Jonathan Wolpaw and published by Oxford University Press. This book was released on 2012-01-24 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: A recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged in the past two decades. This book is intended to provide an introduction to and summary of essentially all major aspects of BCI research and development. Its goal is to be a comprehensive, balanced, and coordinated presentation of the field's key principles, current practice, and future prospects.
