Algorithms For High Performance Brain Computer Interfaces

Download Algorithms For High Performance Brain Computer Interfaces full books in PDF, epub, and Kindle. Read online Algorithms For High Performance Brain Computer Interfaces ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Algorithms for High-performance Brain-computer Interfaces

Author : Guy Wilson (Researcher in neurosciences)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (138 download)

DOWNLOAD NOW!

Book Synopsis Algorithms for High-performance Brain-computer Interfaces by : Guy Wilson (Researcher in neurosciences)

Download or read book Algorithms for High-performance Brain-computer Interfaces written by Guy Wilson (Researcher in neurosciences) and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-computer interfaces (BCIs) are a set of technologies that enable people to interact with devices by directly translating neural activity into command signals. Noninvasive methods such as EEG and fMRI allow minimal-risk access to brain signals but are limited by low spatial and temporal resolution, respectively. By contrast, intracortical BCIs (iBCIs) benefit from unparalleled spatial and temporal resolution recordings of local neuronal ensembles, resulting in some of the highest-performance communication systems to date. While promising, several key challenges remain for wider adoption of these technologies. First, iBCIs in particular suffer from signal instability that cause performance degradation across time. A key challenge for clinical translation of these iBCI cursor systems is ensuring robust, long-term control for end users without manual retraining. Second, while these technologies have enabled point-and-click based typing interfaces approaching 8-10 words per minute, an ideal interface would match the bandwidth of conversational speech (roughly 150 words per minute). Third, intracortical systems require brain surgery, which has inherent risks due to the invasive nature of the procedure. Developing noninvasive approaches for silent speech decoding may therefore be more suitable for a subset of patients. In this work, we discuss three advances that tackle these key areas by leveraging modern machine learning methods alongside high signal-to-noise (SNR) recording systems. First, we present an unsupervised recalibration procedure for improving cursor BCI robustness. Using data from our clinical trial participant, we highlight the extent and timescales of neural feature drift. We demonstrate how existing state-of-the-art procedures are seemingly ill-equipped to deal with long-term drift using both offline data as well as simulation models. We then introduce a novel procedure that leverages task structure to recalibrate a system automatically, and demonstrate superior performance in-silico and in closed-loop in our participant. Second, we lay the groundwork for intracortical speech BCI efforts by prototyping a system in an offline manner using microelectrode arrays in dorsal motor cortex. We demonstrate that, despite being located in a nontraditional brain area for speech decoding, our arrays provide high SNR compared to existing approaches. Third, we leverage skin-like flexible electronics and deep learning for silent speech decoding from electromyography (EMG) signals.

Brain-Computer Interfaces

Author : Jonathan Wolpaw
Publisher : OUP USA
ISBN 13 : 0195388852
Total Pages : 419 pages
Book Rating : 4.1/5 (953 download)

DOWNLOAD NOW!

Book Synopsis Brain-Computer Interfaces by : Jonathan Wolpaw

Download or read book Brain-Computer Interfaces written by Jonathan Wolpaw and published by OUP USA. This book was released on 2012-01-24 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last 15 years, a recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged. This emergence has sprung from a variety of factors. For one, inexpensive computer hardware and software is now available and can support the complex high-speed analyses of brain activity that is essential is BCI. Another factor is the greater understanding of the central nervous system including the abundance of new information on the nature and functional correlates of brain signals and improved methods for recording these signals in both the short-term and long-term. And the third, and perhaps most significant factor, is the new recognition of the needs and abilities of people disabled by disorders such as cerebral palsy, spinal cord injury, stroke, amyotrophic lateral sclerosis (ALS), multiple sclerosis, and muscular dystrophies. The severely disabled are now able to live for many years and even those with severely limited voluntary muscle control can now be given the most basic means of communication and control because of the recent advances in the technology, research, and applications of BCI. 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.

Novel Data Processing Techniques for High-performance Brain-computer Interface

Author : Po-Tang Wang
Publisher :
ISBN 13 : 9781321301335
Total Pages : 170 pages
Book Rating : 4.3/5 (13 download)

DOWNLOAD NOW!

Book Synopsis Novel Data Processing Techniques for High-performance Brain-computer Interface by : Po-Tang Wang

Download or read book Novel Data Processing Techniques for High-performance Brain-computer Interface written by Po-Tang Wang and published by . This book was released on 2014 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-computer interface (BCI) is a direct communication pathway that decodes brain signals directly into actions. It is intended for restoring the abilities to move and communicate for individuals who have become paralyzed. In electroencephalography (EEG)-based BCI, signals on the surface of the brain are analyzed and decoded in real-time into computer commands. However, the signals are weak and noisy. Current BCIs are thus limited in speed, accuracy, and number of useful applications. By using novel data-driven, statistical machine learning algorithms, we developed a high-performance BCI framework that is intuitive, robust, and require short training time. Specifically, we developed a BCI-controlled spelling device and a BCI based on intuitive motor imageries. The data-driven techniques eliminate traditional ad-hoc methods of selecting channels and frequencies. Instead, the dimension reduction (classwise principal component analysis) and discriminant feature extraction (approximate information discriminant analysis) algorithms work on all data to identify the most salient features. This means that BCI users are free to use intuitive mental imageries, such as the imagery of walking to control ambulation, thereby cutting down the training time from 3-4 weeks to 10-15 minutes. 6 able-bodied (AB) individuals participated in using the BCI-Speller and all achieved spelling speed at least 0.5 bits/s faster than 5 other studies found in the literature. The fastest subject was able to achieve 3 bits/s, almost 3 times faster than the next highest performing system. For the Motor BCI, 8 AB and 6 subjects with paraplegia due to spinal cord injury (SCI) used BCI to control a virtual reality walking simulator. In 10-15 minutes training, almost all subjects were able to attain purposeful control and were able to complete a goal-oriented test with high scores. In addition, 1 SCI subject also used BCI to control a robotic gait orthosis to walk on a treadmill. These achievements show that the data-driven approach is an important component of BCI. With further research, BCI may eventually become widely accepted in neurorehabilitation and in restoring independence to and lower the medical and societal costs of paralyzed individuals.

Neuroethics in Practice

Author : Anjan Chatterjee
Publisher : Oxford University Press, USA
ISBN 13 : 0195389786
Total Pages : 291 pages
Book Rating : 4.1/5 (953 download)

DOWNLOAD NOW!

Book Synopsis Neuroethics in Practice by : Anjan Chatterjee

Download or read book Neuroethics in Practice written by Anjan Chatterjee and published by Oxford University Press, USA. This book was released on 2013 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores relevant questions within this multi-faceted and rapidly growing field, and will help to define and foster scholarship within the intersection of neuroethics and clinical neuroscience.

Brain-Computer Interface

Author : M.G. Sumithra
Publisher : John Wiley & Sons
ISBN 13 : 1119857201
Total Pages : 325 pages
Book Rating : 4.1/5 (198 download)

DOWNLOAD NOW!

Book Synopsis Brain-Computer Interface by : M.G. Sumithra

Download or read book Brain-Computer Interface written by M.G. Sumithra and published by John Wiley & Sons. This book was released on 2023-03-14 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Toward Brain-computer Interfacing

Author : Guido Dornhege
Publisher : MIT Press
ISBN 13 : 0262042444
Total Pages : 520 pages
Book Rating : 4.2/5 (62 download)

DOWNLOAD NOW!

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. This book was released on 2007 with total page 520 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.

Brain-Computer Interfaces

Author :
Publisher : Elsevier
ISBN 13 : 0444639330
Total Pages : 392 pages
Book Rating : 4.4/5 (446 download)

DOWNLOAD NOW!

Book Synopsis Brain-Computer Interfaces by :

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

Brain-Computer Interfaces

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319109782
Total Pages : 422 pages
Book Rating : 4.3/5 (191 download)

DOWNLOAD NOW!

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.

Brain-Computer Interface Research

Author : Christoph Guger
Publisher : Springer
ISBN 13 : 3319251902
Total Pages : 133 pages
Book Rating : 4.3/5 (192 download)

DOWNLOAD NOW!

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 2015-12-12 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes ten of the most promising brain-computer-interface (BCI) projects to have emerged in recent years. BCI research is developing quickly, with many new ideas, research groups, and improved technologies. BCIs enable people to communicate just by thinking – without any movement at all. Several different groups have helped severely disabled users communicate with BCIs, and BCI technology is also being extended to facilitate recovery from stroke, epilepsy, and other conditions. Each year, hundreds of the top BCI scientists, engineers, doctors, and other visionaries compete for the most prestigious honor in the BCI research community: the annual BCI Award. The 2014 BCI Award competition was again competitive, with 69 research groups vying for a nomination. This book summarizes the 2014 BCI Award, including the ten projects that were nominated, the winner, and analyses and discussions of the submitted projects and how they reflect general trends in BCI development. Each of these ten groups provides a chapter summarizing their nominated project, including an introduction, description of methods, results, and newer work completed after the project was submitted. Hence, this book provides a cutting-edge overview of the newest BCI research trends, from top groups, in an easy to read format with numerous supporting pictures, graphs, and figures.

Closed-loop Decoder Adaptation Algorithms for Brain-machine Interface Systems

Author : Siddharth Dangi
Publisher :
ISBN 13 :
Total Pages : 123 pages
Book Rating : 4.:/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Closed-loop Decoder Adaptation Algorithms for Brain-machine Interface Systems by : Siddharth Dangi

Download or read book Closed-loop Decoder Adaptation Algorithms for Brain-machine Interface Systems written by Siddharth Dangi and published by . This book was released on 2015 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain-machine interfaces (BMIs) aim to assist patients suffering from neurological injuries and disease by enabling them to use their own neural activity to control external devices such as computer cursors or robotic arms, or even drive movements of their own body via muscle stimulation. At the heart of a BMI system is the decoding algorithm, or "decoder", that translates recorded neural activity into control signals for a prosthetic device. Decoders are often initialized offline by first recording neural activity while a subject performs real movements, or observes or imagines movements, and then fitting a decoder to predict these movements from the neural activity. However, BMIs are fundamentally closed-loop systems, since BMI users receive performance feedback (e.g. by visual observation of the prosthetic's movements), and the prediction power of decoders trained offline does not directly correlate with closed-loop performance. In other words, a high level of BMI performance can not necessarily be achieved solely by optimizing decoder parameters in an open-loop setting. Two different mechanisms have been leveraged in the closed-loop regime to facilitate performance improvements. The first mechanism, neural plasticity or brain adaptation, is the ability of neurons to adapt their receptive fields and tuning properties to facilitate performance improvements. The second, a newly-emerging paradigm known as Closed-Loop Decoder Adaptation (CLDA), aims to update decoder parameters during closed-loop BMI operation in order to make the decoder's output more accurately reflect the user's intended BMI movements. In this work, we leverage the power of CLDA to both improve and maintain BMI performance. First, we introduce a CLDA algorithm that can rapidly improve BMI performance independent of method by which the decoder is seeded, which may be crucial for clinical applications where patients have limited movement and sensory abilities due to motor deficits. We then present a general framework for the design and analysis of CLDA algorithms, and demonstrate that mathematical convergence analysis can be a useful paradigm for evaluating the convergence properties of a prototype CLDA algorithm before experimental testing. Next, we then apply the CLDA technique to demonstrate high-performance, proficient BMI control based on local field potential signals instead of spikes, and demonstrate that there is broad flexibility in the frequencies that could potentially be used for LFP-based BMI control. Finally, we introduce a new CLDA algorithm called Recursive Maximum Likelihood that adapts decoder parameters very rapidly and efficiently, and possesses a variety of useful properties and practical algorithmic advantages. We test all of our algorithms and methods in closed-loop experiments by training macaque monkeys to perform a center-out reaching task using either spiking activity or local field potentials to control a 2D computer cursor. Overall, our work makes important progress towards demonstrating the power of closed-loop decoder adaptation as a useful tool for developing high-performance brain machine interface systems.

Brain Computer Interface Decoding Performance Using EEG Error Related Potentials

Author : Praveen Kumar
Publisher : Mohammed Abdul Sattar
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (236 download)

DOWNLOAD NOW!

Book Synopsis Brain Computer Interface Decoding Performance Using EEG Error Related Potentials by : Praveen Kumar

Download or read book Brain Computer Interface Decoding Performance Using EEG Error Related Potentials written by Praveen Kumar and published by Mohammed Abdul Sattar. This book was released on 2023-06-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Computer Interface (BCI) decoding performance refers to the accuracy and reliability with which a BCI system can interpret and decode brain signals obtained through EEG (Electroencephalography) recordings, specifically focusing on error-related potentials (ErrPs). BCIs are innovative systems that allow direct communication and control between the human brain and external devices, such as computers or prosthetic limbs. EEG is a non-invasive technique that measures the electrical activity of the brain using electrodes placed on the scalp. It captures neural signals that represent various cognitive and motor processes. Error-related potentials (ErrPs) are specific brainwave patterns generated in response to the occurrence or anticipation of errors during cognitive tasks or feedback. They can be detected and extracted from EEG recordings and used as informative markers in BCI systems. ErrPs provide valuable insights into the user's cognitive processes, including error detection, error monitoring, and response correction. The decoding performance of a BCI system using EEG ErrPs is a crucial aspect of its effectiveness and usability. It involves the development and application of signal processing techniques, machine learning algorithms, and classification methods to accurately interpret the neural activity captured by EEG electrodes. To achieve high decoding performance, various steps are involved. These include signal preprocessing, artifact rejection, feature extraction, and selection, as well as spatial and temporal filtering techniques. Additionally, machine learning algorithms are employed to train the system to classify and interpret the extracted features. The choice of appropriate classification algorithms plays a significant role in determining the system's accuracy and real-time performance. Improving BCI decoding performance using EEG ErrPs has wide-ranging applications. It can facilitate advancements in neurofeedback, allowing individuals to enhance their cognitive control and self-regulation. BCIs using ErrPs have potential therapeutic applications in neurorehabilitation for individuals with neurological disorders or motor impairments. They can also enable assistive technology for individuals with limited motor control, providing alternative means of communication and control. Overall, the study and enhancement of BCI decoding performance using EEG ErrPs contribute to the development of more robust and reliable brain-machine interfaces, paving the way for improved human-computer interaction and the integration of neural interfaces into various fields of research and everyday life. Brain-Computer Interface (BCI) technology is poised to have a profound impact on people with severe communication and control disabilities due to locked-in syndrome (LIS). The patients suffering from LIS are paralyzed with no voluntary control over their motor movement and speech, despite intact cognition . The LIS can result from a variety of clinical conditions, including stroke, Spinal Cord Injury (SCI), motor neuron disease, most notably Amyotrophic Lateral Sclerosis (ALS), etc. BCI systems bypass the natural communication pathway between the brain and peripheral nervous system and provide an alternative pathway for communication and control. Thus, the BCI system decodes the neuronal signatures from the acquired brain signals and then translates the decoded output to control an external device.

Brain-Computer Interface Research

Author : Christoph Guger
Publisher : Springer Science & Business Media
ISBN 13 : 3642547079
Total Pages : 114 pages
Book Rating : 4.6/5 (425 download)

DOWNLOAD NOW!

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 Science & Business Media. This book was released on 2014-03-12 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest research and developments in the field of brain-computer interfaces (BCIs). It introduces ten outstanding and innovative BCI projects, nominated as finalists for the BCI award 2012 by a jury of established researchers and discusses how each of the nominated projects reflects general worldwide trends in BCI development. At the core of the book, nine of these ten projects are described in detailed individual chapters. These include a focused introduction to each project, an easy to grasp description of the methods and a timely report on the most recent developments achieved since the submission to the award. Hence, this book provides a cutting-edge overview of the newest BCI research trends, from leading experts, in an easy to read format supported by explanatory pictures, graphs and figures.

Brain-Computer Interface Research

Author : Christoph Guger
Publisher : Springer
ISBN 13 : 331957132X
Total Pages : 136 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

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

Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications

Author : Xiang Zhang
Publisher : World Scientific
ISBN 13 : 1786349604
Total Pages : 294 pages
Book Rating : 4.7/5 (863 download)

DOWNLOAD NOW!

Book Synopsis Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications by : Xiang Zhang

Download or read book Deep Learning For Eeg-based Brain-computer Interfaces: Representations, Algorithms And Applications written by Xiang Zhang and published by World Scientific. This book was released on 2021-09-14 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)

Brain-Computer Interfaces

Author : Desney S. Tan
Publisher : Springer Science & Business Media
ISBN 13 : 1849962723
Total Pages : 286 pages
Book Rating : 4.8/5 (499 download)

DOWNLOAD NOW!

Book Synopsis Brain-Computer Interfaces by : Desney S. Tan

Download or read book Brain-Computer Interfaces written by Desney S. Tan and published by Springer Science & Business Media. This book was released on 2010-06-10 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: For generations, humans have fantasized about the ability to create devices that can see into a person’s mind and thoughts, or to communicate and interact with machines through thought alone. Such ideas have long captured the imagination of humankind in the form of ancient myths and modern science fiction stories. Recent advances in cognitive neuroscience and brain imaging technologies have started to turn these myths into a reality, and are providing us with the ability to interface directly with the human brain. This ability is made possible through the use of sensors that monitor physical processes within the brain which correspond with certain forms of thought. Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction broadly surveys research in the Brain-Computer Interface domain. More specifically, each chapter articulates some of the challenges and opportunities for using brain sensing in Human-Computer Interaction work, as well as applying Human-Computer Interaction solutions to brain sensing work. For researchers with little or no expertise in neuroscience or brain sensing, the book provides background information to equip them to not only appreciate the state-of-the-art, but also ideally to engage in novel research. For expert Brain-Computer Interface researchers, the book introduces ideas that can help in the quest to interpret intentional brain control and develop the ultimate input device. It challenges researchers to further explore passive brain sensing to evaluate interfaces and feed into adaptive computing systems. Most importantly, the book will connect multiple communities allowing research to leverage their work and expertise and blaze into the future.

High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production

Author : Vladimir Jordan
Publisher : Springer Nature
ISBN 13 : 3030941418
Total Pages : 428 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production by : Vladimir Jordan

Download or read book High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production written by Vladimir Jordan and published by Springer Nature. This book was released on 2022-01-17 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected revised and extended papers from the 11th International Conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2021, Barnaul, Russia, in May 2021. The 32 full papers presented in this volume were thoroughly reviewed and selected form 98 submissions. The papers are organized in topical sections on Hardware for High-Performance Computing and Signal Processing; Information Technologies and Computer Simulation of Physical Phenomena; Computing Technologies in Discrete Mathematics and Decision Making; Information and Computing Technologies in Automation and Control Science; and Computing Technologies in Information Security Applications.

Recent Progress in Brain and Cognitive Engineering

Author : Seong-Whan Lee
Publisher : Springer
ISBN 13 : 9401772398
Total Pages : 218 pages
Book Rating : 4.4/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Recent Progress in Brain and Cognitive Engineering by : Seong-Whan Lee

Download or read book Recent Progress in Brain and Cognitive Engineering written by Seong-Whan Lee and published by Springer. This book was released on 2015-10-27 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: For ‘Recent Progress in Brain and Cognitive Engineering’ Brain and Cognitive Engineering is a converging study field to derive a better understanding of cognitive information processing in the human brain, to develop “human-like” and neuromorphic artificial intelligent systems and to help predict and analyze brain-related diseases. The key concept of Brain and Cognitive Engineering is to understand the Brain, to interface the Brain, and to engineer the Brain. It could help us to understand the structure and the key principles of high-order information processing on how the brain works, to develop interface technologies between a brain and external devices and to develop artificial systems that can ultimately mimic human brain functions. The convergence of behavioral, neuroscience and engineering research could lead us to advance health informatics and personal learning, to enhance virtual reality and healthcare systems, and to “reverse engineer” some brain functions and build cognitive robots. In this book, four different recent research directions are presented: Non-invasive Brain-Computer Interfaces, Cognitive- and Neural-rehabilitation Engineering, Big Data Neurocomputing, Early Diagnosis and Prediction of Neural Diseases. We cover numerous topics ranging from smart vehicles and online EEG analysis, neuroimaging for Brain-Computer Interfaces, memory implantation and rehabilitation, big data computing in cultural aspects and cybernetics to brain disorder detection. Hopefully this will provide a valuable reference for researchers in medicine, biomedical engineering, in industry and academia for their further investigations and be inspiring to those who seek the foundations to improve techniques and understanding of the Brain and Cognitive Engineering research field.