Advanced Deep-Transfer-Leveraged Studies on Brain-Computer Interfacing PDF Download
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Author: Yizhang Jiang
Publisher: Frontiers Media SA
ISBN: 2889714683
Category : Science
Languages : en
Pages : 239
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Book Description
Author: Yizhang Jiang
Publisher: Frontiers Media SA
ISBN: 2889714683
Category : Science
Languages : en
Pages : 239
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Book Description
Author: M.G. Sumithra
Publisher: John Wiley & Sons
ISBN: 1119857201
Category : Computers
Languages : en
Pages : 325
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Book Description
BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists.
Author: Xiang Zhang
Publisher: World Scientific
ISBN: 1786349604
Category : Computers
Languages : en
Pages : 294
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Book Description
Deep Learning for EEG-Based Brain-Computer Interfaces is an exciting book that describes how emerging deep learning improves the future development of Brain-Computer Interfaces (BCI) in terms of representations, algorithms and applications. BCI bridges humanity's neural world and the physical world by decoding an individuals' brain signals into commands recognizable by computer devices.This book presents a highly comprehensive summary of commonly-used brain signals; a systematic introduction of around 12 subcategories of deep learning models; a mind-expanding summary of 200+ state-of-the-art studies adopting deep learning in BCI areas; an overview of a number of BCI applications and how deep learning contributes, along with 31 public BCI data sets. The authors also introduce a set of novel deep learning algorithms aimed at current BCI challenges such as robust representation learning, cross-scenario classification, and semi-supervised learning. Various real-world deep learning-based BCI applications are proposed and some prototypes are presented. The work contained within proposes effective and efficient models which will provide inspiration for people in academia and industry who work on BCI.Related Link(s)
Author: Chang S. Nam
Publisher: CRC Press
ISBN: 1351231936
Category : Computers
Languages : en
Pages : 1520
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Book Description
Brain–Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain–Computer Interfaces (BCIs). The authors supply readers with a contemporary presentation of fundamentals, theories, and diverse applications of BCI, creating a valuable resource for anyone involved with the improvement of people’s lives by replacing, restoring, improving, supplementing or enhancing natural output from the central nervous system. It is a useful guide for readers interested in understanding how neural bases for cognitive and sensory functions, such as seeing, hearing, and remembering, relate to real-world technologies. More precisely, this handbook details clinical, therapeutic and human-computer interfaces applications of BCI and various aspects of human cognition and behavior such as perception, affect, and action. It overviews the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying users’ mental states and intentions. Various theories, models, and empirical findings regarding the ways in which the human brain interfaces with external systems and environments using BCI are also explored. The handbook concludes by engaging ethical considerations, open questions, and challenges that continue to face brain–computer interface research. Features an in-depth look at the different methods and techniques used in acquiring and pre-processing brain signals, extracting features, and classifying the user's intention Covers various theories, models, and empirical findings regarding ways in which the human brain can interface with the systems or external environments Presents applications of BCI technology to understand various aspects of human cognition and behavior such as perception, affect, action, and more Includes clinical trials and individual case studies of the experimental therapeutic applications of BCI Provides human factors and human-computer interface concerns in the design, development, and evaluation of BCIs Overall, this handbook provides a synopsis of key technological and theoretical advances that are directly applicable to brain–computer interfacing technologies and can be readily understood and applied by individuals with no formal training in BCI research and development.
Author: Rajesh P. N. Rao
Publisher: Cambridge University Press
ISBN: 0521769418
Category : Computers
Languages : en
Pages : 337
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Book Description
The idea of interfacing minds with machines has long captured the human imagination. Recent advances in neuroscience and engineering are making this a reality, opening the door to restoration and augmentation of human physical and mental capabilities. Medical applications such as cochlear implants for the deaf and neurally controlled prosthetic limbs for the paralyzed are becoming almost commonplace. Brain-computer interfaces (BCIs) are also increasingly being used in security, lie detection, alertness monitoring, telepresence, gaming, education, art, and human augmentation. This introduction to the field is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used for self-study and as a reference by neuroscientists, computer scientists, engineers, and medical practitioners. Key features include questions and exercises in each chapter and a supporting website.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN: 1005580081
Category : Computers
Languages : en
Pages : 97
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Book Description
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
Author: Guido Dornhege
Publisher: MIT Press
ISBN: 0262042444
Category : Brain mapping
Languages : en
Pages : 520
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Book Description
This volume presents a timely overview of the latest BCI research, with contributions from many of the important research groups in the field.
Author: Toshihisa Tanaka (Engineer)
Publisher:
ISBN: 9781523119837
Category : COMPUTERS
Languages : en
Pages :
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Book Description
Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions. In this book an international panel of experts introduce signal processing and machine learning techniques for BMI/BCI and outline their practical and future applications in neuroscience, medicine, and rehabilitation, with a focus on EEG-based BMI/BCI methods and technologies. Topics covered include discriminative learning of connectivity pattern of EEG; feature extraction from EEG recordings; EEG signal processing; transfer learning algorithms in BCI; convolutional neural networks for event-related potential detection; spatial filtering techniques for improving individual template-based SSVEP detection; feature extraction and classification algorithms for image RSVP based BCI; decoding music perception and imagination using deep learning techniques; neurofeedback games using EEG-based Brain-Computer Interface Technology; affective computing system and more.
Author:
Publisher: Elsevier
ISBN: 9780444639349
Category : Medical
Languages : en
Pages : 0
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Book Description
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.
Author: Toshihisa Tanaka
Publisher: Institution of Engineering and Technology
ISBN: 1785613987
Category : Technology & Engineering
Languages : en
Pages : 355
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Book Description
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.
