仿生智能 · 全部实体（第 70 / 100 页）

本页收录第 6901–7000 条，共 10000 条 · 返回 仿生智能 首页

• Demonstration of a portable intracortical brain-computer interface
  While recent advances in intracortical brain-computer interfaces (iBCI) have demonstrated the ability to restore motor and communication functions, such demonstrations have generally been confined to controlled experimental settings and have required bulky lab…
  crossref Jeffrey M. Weiss, Robert A. Gaunt, Robert Franklin, Michael L. Boninger 等 2020-01-02T01:27:34Z 置信度 0.70
• Alpha-band lateralization during auditory selective attention for brain–computer interface control
  In this paper, we investigated selective attention to auditory stimuli as a control mechanism for a Brain–Computer Interface (BCI). For BCIs using visual stimuli, the use of steady state or code modulated visual evoked potentials yields high performance. In th…
  crossref Martin Spüler, Simone Kurek 2018-01-15T08:44:10Z 置信度 0.70
• Human-Computer Interface Issues in Controlling Virtual Reality With Brain-Computer Interface
  We have integrated the Graz brain–computer interface (BCI) system with a highly immersive virtual reality (VR) Cave-like system. This setting allows for a new type of experience, whereby participants can control a virtual world using imagery of movement. Howev…
  crossref Doron Friedman, Robert Leeb, Gert Pfurtscheller, Mel Slater 2010-03-30T08:22:39Z 置信度 0.70
• NORMALIZATION OF BRAIN ACTIVATIONS IN DEPRESSION, WITH A SUBJECT-INDEPENDENT PATTERN-BASED BRAIN-COMPUTER INTERFACE SYSTEM.
  Objectives: To train depressive patients to achieve a healthy emotional brain-state, aided by a Brain-Computer interface (BCI) system asociated to a u201csubject-independent (or u201cpopulation-basedu201d) classifieru201d of emotional states, created from a se…
  crossref Sergio Ruiz, Jaime A. Pereira 2020-02-19T11:55:29Z 置信度 0.70
• A brain-computer interface for recognizing brain activity
  Electroencephalogram signals (EEG), also known as brainwaves, provide rich information about the brain processes, once that they result from the electrical activity of millions of neurons beneath the skull. By finding correlation between EEG patterns and certa…
  crossref Arthur Salvetti, Bogdan M. Wilamowski 2008-08-01T11:52:40Z 置信度 0.70
• Space-time portraits of brain dynamics
  Recent developments in the application of electroencephalography (EEG) signal-based brain-machine interfaces (BMI) provide support for the capabilities of EEG techniques to account for neural dynamics associated with simple task performance. However, the funda…
  crossref Sang Wan Lee 2016-04-25T21:45:23Z 置信度 0.70
• Operational Study of Brain Reading–Neuroimaging in Human Brain Computer Interface(H-BCI)
  Brain-Computer Interface (BCI), sometimes called a direct neural interface or a brain-machine interface (BMI), is a direct communication between the brain and an external device.BCIs are often designed to help increase or repair cognitive or human sensomotor f…
  crossref 2017-11-22T10:22:12Z 置信度 0.70
• Brain-Computer Interface: Use of Electroencephalogram in Neuro-Rehabilitation
  Brain-computer interface is a technology that has been under enormous research in the last few decades. It uses brain signals by converting them into action to control the external environment. The focus of the future is the application of such technology in r…
  crossref Ting Hin Adrian Hui 2023-02-27T09:20:30Z 置信度 0.70
• Brain–computer interface and neurocomputing
  crossref Samrudhi Mohdiwale, Mridu Sahu 2020-04-17T13:59:22Z 置信度 0.70
• A Dynamic Window SSVEP-Based Brain-Computer Interface System Using a Spatio-temporal Equalizer
  crossref Chen Yang, Xiang Li, Nanlin Shi, Yijun Wang 等 2020-10-17T09:03:02Z 置信度 0.70
• Evoked potentials-based brain–computer interface
  Myoelectric-based hand gesture recognition for human–computer interface applications - 1
  crossref 2015-09-29T15:12:58Z 置信度 0.70
• What Is Brain-Computer Interface (BCI)?
  crossref Ujwal Chaudhary 2025-03-19T21:43:21Z 置信度 0.70
• Brain-Computer Interface (BCI) in Healthcare
  Brain-computer interface (BCI) is an emerging technology that aims to establish direct, real-time communication between the brain and external devices such as computers, robots, artificial limbs, and wheelchairs. With BCI, these devices are controlled by brain…
  crossref Affaan Shaikh, Aparna V. B., Rick Munene, Digvijay Pandey 2025-05-14T13:56:44Z 置信度 0.70
• Brain-Computer Interface
  With the increasing capabilities of contemporary computers and our growing comprehension of the human brain, we are getting closer to turning some pretty amazing science fiction into reality. Imagine sending impulses straight to the brain of a person so they m…
  crossref Macha Sarada, Ralla Suresh, M. Sridevi, V. Sudarshan 等 2025-05-14T13:56:44Z 置信度 0.70
• Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces
  The omnipresence of non-stationarity and noise in Electroencephalogram signals restricts the ubiquitous use of Brain-Computer interface. One of the possible ways to tackle this problem is to adapt the computational model used to detect and classify different m…
  crossref Satyam Kumar, Florian Yger, Fabien Lotte 2019-06-18T00:15:31Z 置信度 0.70
• A Memory Stimulating Brain-Computer Interface
  crossref Kelgere Ramesh Abhinandan 2013-06-03T02:00:41Z 置信度 0.70
• Tutorial on multimodal neuroimaging for brain-computer interfacing
  Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subj…
  crossref Siamac Fazli, Klaus-Robert Muller, Seong-Whan Lee, Benjamin Blankertz 2013-04-26T19:28:33Z 置信度 0.70
• A Computer-Brain Interface that Restores Lost Extremities’ Touch and Movement Sensations
  crossref G. Valle, F. M. Petrini, P. Mijovic, B. Mijovic 等 2021-08-28T04:02:48Z 置信度 0.70
• Brain–Computer Interface Technology
  crossref Szczepan Paszkiel 2019-08-31T05:30:41Z 置信度 0.70
• Computer-brain interface
  As software running on computer, mental activities of human brain may entry a dead loop too. Computer-brain interfaces give computers special channels to detect and interfere to interrupt unwanted thoughts which induce unpleasant intrusive thoughts and uncontr…
  crossref S.Q. Xie, C. Gao, Z.L. Yang, R.Y. Wang 2005-08-30T10:00:41Z 置信度 0.70
• Explainable Deep Learning for Brain-Computer Interfaces through Layerwise Relevance Propagation
  With an ever-growing demand for BCI-based systems, numerous algorithms and machine learning systems have been proposed over the past few decades. Although state-of-theart approaches have reached practically appropriate levels of accuracy, most are often regard…
  crossref Vladislav Mun, Berdakh Abibullaev 2023-03-28T18:11:47Z 置信度 0.70
• Brain-Computer Interface and Brain-Computer Fusion
  crossref Sha Zhao, Yueming Wang, Gang Pan 2026-05-20T22:23:36Z 置信度 0.70
• FBSE-based automated classification of motor imagery EEG signals in brain–computer interface
  crossref Shailesh Vitthalrao Bhalerao, Sunilkumar Sambhaji Ainwad, Ram Bilas Pachori 2024-11-08T03:29:55Z 置信度 0.70
• Electrocorticogram as a Brain-Computer Interface Signal Source
  crossref Jane E. Huggins, Bernhard Graimann, Se Young Chun, Jeffrey A. Fessler 等 2019-01-11T13:53:24Z 置信度 0.70
• Eeg-Based Brain-Computer Interface Paradigms: A Review
  crossref Hitesh Yadav, Surita Maini, Dhananjay Kumar 2023-06-30T16:46:17Z 置信度 0.70
• Reviewer #2 (Public review): A theory of brain-computer interface learning via low-dimensional control
  A remarkable demonstration of the flexibility of mammalian motor systems is primates’ ability to learn to control brain-computer interfaces (BCIs). This constitutes a completely novel motor behavior, yet primates are capable of learning to control BCIs under a…
  crossref 2025-05-14T14:31:06Z 置信度 0.70
• Brain-Computer Interface using temporal-spectral features and neural network classifier
  We show that by extracting temporal and spectral features from EEG signal and, following, using neural network to classify those features, one can significantly improve the performance of Brain-Computer Interfaces (BCIs) in predicting which motor movement was …
  crossref Moran Cerf, Gan Wang 2022-02-03T13:55:04Z 置信度 0.70
• P300-Based Speller Brain-Computer Interface
  crossref Reza Fazel-Rezai 2012-03-29T07:49:01Z 置信度 0.70
• Recent Advances in Brain-Computer Interface Research - Projects Nominated for the BCI Award 2012
  crossref Christoph Guger, Brendan Allison, E. C. Leuthardt 2014-03-12T06:14:43Z 置信度 0.70
• BCI 2026 Cover Page
  crossref 2026-03-19T20:04:24Z 置信度 0.70
• eLife Assessment: A theory of brain-computer interface learning via low-dimensional control
  A remarkable demonstration of the flexibility of mammalian motor systems is primates’ ability to learn to control brain-computer interfaces (BCIs). This constitutes a completely novel motor behavior, yet primates are capable of learning to control BCIs under a…
  crossref Srdjan Ostojic 2025-05-14T14:31:06Z 置信度 0.70
• Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms
  In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services to individual preferences and needs, based on endogenous electroencephalography (…
  crossref Heon-Gyu Kwak, Gi-Hwan Shin, Yeon-Woo Choi, Dong-Hoon Lee 等 2025-03-28T02:29:03Z 置信度 0.70
• Brain-Computer Interface Technologies
  crossref Claude Clément 2019-10-08T13:08:02Z 置信度 0.70
• Front Matter
  The prelims comprise: Half-Title Page Publisher Page Title Page Copyright Page Table of Contents Preface
  crossref 2023-02-10T21:26:58Z 置信度 0.70
• BCI 2026 Copyright Page
  crossref 2026-03-19T20:04:24Z 置信度 0.70
• A Survey of Technologies for Brain Computer Interface Developments to Treat Neuropsychiatric Disorders
  Neuropsychiatric disorders are a huge cause of global disability. Despite decades of research little progress has been made on effective treatments for many of these disorders. Brain-computer interfacing (BCI) is a method that allows for a close integration be…
  crossref Do Tromp 2016-04-22T14:49:23Z 置信度 0.70
• Reviewer #1 (Public review): A theory of brain-computer interface learning via low-dimensional control
  A remarkable demonstration of the flexibility of mammalian motor systems is primates’ ability to learn to control brain-computer interfaces (BCIs). This constitutes a completely novel motor behavior, yet primates are capable of learning to control BCIs under a…
  crossref 2025-05-14T14:31:06Z 置信度 0.70
• Selection of electrode positions for an EEG-based Brain Computer Interface (BCI). Auswahl von Elektrodenpositionen für ein auf EEG-Ableitungen basierendes Brain Computer Interface (BCI)
  One major question in designing an EEG-based Brain Computer Interface to bypass the normal motor pathways is the selection of proper electrode positions. This study investigates electrode selection with a Distinction Sensitive Learning Vector Quantizer (DSLVQ)…
  crossref M. Pregenzer, G. Pfurtscheller, D. Flotzinger 2009-07-17T14:22:07Z 置信度 0.70
• Brain-Computer Interface
  crossref Zhang Zhijun 2025-01-11T08:58:57Z 置信度 0.70
• EEG-Based Brain-Computer Interface
  Abstract This chapter focuses on the brain-computer interface (BCI), a system that allows its user to interact with his environment without the use of muscular activity as, for example, hand, foot, or mouth movement. Topics discussed include components definin…
  crossref Gert Pfurtscheller, Reinhold Scherer, Christa Neuper 2009-05-14T14:12:32Z 置信度 0.70
• Introduction
  crossref Narayan Panigrahi, Saraju P. Mohanty 2022-05-27T14:39:05Z 置信度 0.70
• Developing an optical brain-computer interface for robot control
  The ability to direct a robot using only human thoughts could provide a powerful mechanism for human-robot interaction with a wide range of potential applications including medical robotics, search-and-rescue operations, and industrial manufacturing. Brain-com…
  crossref Alyssa Marie Batula, Hasan Ayaz, Youngmoo Kim 2021-07-16T02:25:46Z 置信度 0.70
• Brain-Computer Interface
  crossref Zhang Zhijun 2024-06-28T03:52:12Z 置信度 0.70
• BACK MATTER
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• Review for "Standardization of protocol design for user training in EEG-based Brain-Computer Interface"
  crossref 2020-11-21T16:00:30Z 置信度 0.70
• BCI 2026 Ad Page
  crossref 2026-03-19T20:04:24Z 置信度 0.70
• Brain-Computer Interface using temporal- spectral features and neural network classifier
  We show that by extracting temporal and spectral features from EEG signal and, following, using neural network to classify those features, one can significantly improve the performance of Brain-Computer Interfaces (BCIs) in predicting which motor movement was …
  crossref Moran Cerf, Gan Wang 2022-01-31T22:03:47Z 置信度 0.70
• FRONT MATTER
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• EEG Driven Brain Computer Interface
  In many diseases of the nervous system, the cortical command centers remain intact, but cannot connect to the peripheral organs, such as in spinal cord injury and ALS. The ability to create neuronal prosthetics that can link cortical activity to a computer or …
  crossref RICHARD G. ELLENBOGEN 2011-04-23T14:30:53Z 置信度 0.70
• Brain-Computer Interface using temporal-spectral features and neural network classifier
  <div> <div> <div> <p>We show that by extracting temporal and spectral features from EEG signal and, following, using neural network to classify those features, one can significantly improve the performance of Brain-Computer Interfaces (…
  crossref Moran Cerf, Gan Wang 2022-02-01T03:03:48Z 置信度 0.70
• Explainable Deep Learning for Analysing Brain Data
  In this short abstract I will discuss recent directions where deep learning is used for analysing brain imaging data, both in the context of BCI and fMRI - summarizing steps taken by the BBCI team and co-workers. It is the nature of this short text that many p…
  crossref K.-R. Muller 2019-06-17T20:15:31Z 置信度 0.70
• Deep Learning made transferable: studying Brain decoding
  This abstract is based on joint work with Armin Thomas, Wojciech Samek, Hauke Heekeren, Benjamin Blankertz, Gabriel Curio, Michael Tangermann, Siamac Fazli, Vadim Nikulin, Gregoire Montavon, Sebastian Bach/Lapuschkin, Irene Sturm, Arno Villringer, Carmen Vidau…
  crossref K.-R. Müller 2024-04-02T18:37:26Z 置信度 0.70
• Brain Interface Design for Asynchronous Control
  The concept of self-paced control has recently emerged from within the general field of brain-computer interface research. The use of assistive devices in real-world environments is best served by interfaces operated in an asynchronous manner. This self-paced …
  crossref Jaimie F. Borisoff, Steve G. Mason, Gary E. Birch 2019-01-11T13:53:24Z 置信度 0.70
• Brain Imaging and Machine Learning for Brain-Computer Interface
  P. Sajda et al., defines (Sajda et al., 2008) the Brain-Computer Interface (BCI) as: "A Brain-Computer Interface is a system that includes a means for measuring neural signals from the brain, a method/algorithm for decoding these signals and a methodology for …
  crossref Maha Khachab, Chafic Mokbel, Salim Kaakour, Nicolas Saliba 等 2012-03-23T19:40:22Z 置信度 0.70
• Brain Neuroplasticity Leveraging Virtual Reality and Brain–Computer Interface Technologies
  This study explores neuroplasticity through the use of virtual reality (VR) and brain–computer interfaces (BCIs). Neuroplasticity is the brain’s ability to reorganize itself by forming new neural connections in response to learning, experience, and injury. VR …
  pubmed Athanasios Drigas, Angeliki Sideraki, Drigas A, Sideraki A 2024 Sep 3 置信度 0.82 Brain–computer interfaceNeuroplasticityVirtual realityCognitionPsychological intervention
• Deep autoencoder-based automated brain tumor detection from MRI data
  crossref Fatih Demir 2022-02-11T06:46:19Z 置信度 0.70
• Developing a Closed-Loop Brain-Computer Interface for Treatment of Neuropsychiatric Disorders Using Electrical Brain Stimulation
  crossref Yuxiao Yang, Omid G. Sani, Morgan B. Lee, Heather E. Dawes 等 2021-04-01T11:04:01Z 置信度 0.70
• BciPy: brain–computer interface software in Python
  There are high technological and software demands associated with conducting Brain–Computer Interface (BCI) research. In order to accelerate the development and accessibility of BCIs, it is worthwhile to focus on open-source and community desired tooling. Pyth…
  crossref Tab Memmott, Aziz Koçanaoğulları, Matthew Lawhead, Daniel Klee 等 2021-02-02T23:53:01Z 置信度 0.70
• Examination of effectiveness of kinaesthetic haptic feedback for motor imagery-based brain-computer interface training
  Motor imagery-based brain computer interfaces (BCI) performance can be reinforced by visual presentation of feedback about the motor imagery displayed on a screen. However, to directly control robots by the BCI, a different feedback modality may be preferred. …
  crossref Isao Sakamaki, Mahdi Tavakoli, Sandra Wiebe, Kim Adams 2022-09-01T23:27:01Z 置信度 0.70
• A deep learning method for classification of steady-state visual evoked potentials in a brain-computer interface speller
  The main drawback of SSVEP-based BCIs is the lack of a classifier that categorizes SSVEPs with high accuracy and Information Transfer Rate (ITR). Addressing this, we proposed a deep convolutional neural network (CNN) for classifying a 40-class SSVEP. Time wind…
  crossref Farzad Saffari, Ali Khadem 2023-02-02T22:42:36Z 置信度 0.70
• Beyond ‘communication and control’: towards ethically complete rationales for brain-computer interface research
  Rapid advances in neural engineering have led to an increasing use of human subjects in brain-computer interface (BCI) research. Here we ask whether the rationales articulated for this research have kept pace with related ethical requirements. To answer this q…
  crossref Laura Specker Sullivan, Judy Illes 2016-07-29T08:30:26Z 置信度 0.70
• Caregiver and special education staff perspectives of a commercial brain-computer interface as access technology: a qualitative study
  This study sought to understand the perceptions of special education staff and caregivers (n = 6) who took part in a brain-computer interface (BCI) technology trial for individuals with severe cerebral palsy. Participants were interviewed post-trials regarding…
  crossref Sarvnaz Taherian, T. Claire Davies 2018-08-23T13:17:12Z 置信度 0.70
• TeleBCI: remote user training, monitoring, and communication with an evoked-potential brain-computer interface
  Brain-computer interfaces (BCIs) are a movement-independent form of augmentative and alternative communication (AAC) for individuals with amyotrophic lateral sclerosis (ALS). The rare utilization of such devices in the homes of patients stems from a number of …
  crossref Andrew Geronimo, Zachary Simmons 2020-11-18T10:22:22Z 置信度 0.70
• Personalized adaptive instruction design (PAID) for brain–computer interface using reinforcement learning and deep learning: simulated data study
  Brain–computer interface (BCI) systems may require the user to perform a set of mental tasks, such as imagining different types of motion. The performance demonstrated on these tasks varies with time and between users. This study presents a new method for the …
  crossref A. Eliseyev, T. Aksenova 2019-08-13T11:32:46Z 置信度 0.70
• Brain–computer interface based on thought waves
  Evoked potentials-based brain–computer interface - 1
  crossref 2015-09-29T19:12:58Z 置信度 0.70
• Challenges and future directions in brain–computer interface research for exoskeletons usage
  crossref Hemanth P.K. Sudhani, Prabhakar Vattikuti, Dasari Rekha 2025-01-31T14:26:26Z 置信度 0.70
• Brain‐Computer Interface Rehabilitation
  This chapter gives comprehensive research into the integration of machine learning (ML) and deep learning (DL) in brain-computer interface systems (BCI) with an extraordinary focus on restoration applications. BCIs decide the direct communication pathway betwe…
  crossref Rabiya Nazeer, Dhanpratap Singh 2026-08-14T21:23:06Z 置信度 0.70
• Application of artificial intelligence in brain–computer interface and challenges
  crossref Sunita Prem Victor, Willi Paul, Chandra P. Sharma 2026-03-07T07:31:43Z 置信度 0.70
• Recent Advances in Brain-Computer Interface Research: A Summary of the 2019 BCI Award and Online BCI Research Activities
  crossref Christoph Guger, Michael Tangermann, Brendan Z. Allison 2021-04-01T11:04:01Z 置信度 0.70
• Evaluation and Performance Assessment of the Brain–Computer Interface System
  Performance assessment has a pivotal role in the development of brain–computer interface (BCI) systems and algorithms. A large number of performance-measuring metrics exist in the literature, and the choice of best metric may be difficult for researchers. The …
  crossref Md Rakibul Mowla, Jane E. Huggins, David E. Thompson 2019-03-14T13:35:55Z 置信度 0.70
• Intracortical Microstimulation as a Feedback Source for Brain-Computer Interface Users
  crossref Sharlene Flesher, John Downey, Jennifer Collinger, Stephen Foldes 等 2017-08-21T06:32:51Z 置信度 0.70
• Recent Advances in Brain-Computer Interface Research—A Summary of the 2017 BCI Award and BCI Research Trends
  crossref Christoph Guger, Brendan Z. Allison, Natalie Mrachacz-Kersting 2019-07-08T07:05:58Z 置信度 0.70
• The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User Specific Brain States
  Abstract: We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main contribution of the BBCI, which is a non-invasive EEG-based BCI system, …
  openalex Benjamin Blankertz, Guido Dornhege, Matthias Krauledat, Volker Kunzmann 等 2007-07-20 置信度 0.72 Brain–computer interfaceComputer scienceMotor imageryElectroencephalographyInterface (matter)
• Using EEG Based Brain-Computer Interface to Control Actions in Applications – The Way to Provide New Possibilities for Disabled People
  crossref Mateusz Adamczyk, Szczepan Paszkiel 2021-03-29T04:02:31Z 置信度 0.70
• Development of an open source platform for brain-machine interface: openBMI
  Recently, there has been an increased demand for Brain-Machine Interface (BMI) toolboxes for neuroscience research. A BMI system provides a communication tool for people with severe motor disabilities and can be used to control external devices. Here, we intro…
  crossref Min-Ho Lee, Siamac Fazli, Keun-Tae Kim, Seong-Whan Lee 2016-04-25T17:45:23Z 置信度 0.70
• Brain–Computer Interface Spellers for Communication: Why We Need to Address Their Security and Authenticity
  Brain–Computer Interfaces (BCI) have witnessed significant research and development in the last 20 years where the main aim was to improve their accuracy and increase their information transfer rates (ITRs), while still making them portable and easy to use by …
  crossref Anirban Dutta 2020-03-02T06:34:23Z 置信度 0.70
• Analysing the Changing Brain: Immediate Brain Plasticity After One Hour of BCI
  In this brief contribution I will discuss recent directions of our research where nonlinear learning methods are employed for analysing multimodal brain data, both in the context of BCI and beyond - essentially summarizing some steps taken by the BBCI team and…
  crossref K.-R. Muller 2020-04-10T04:23:57Z 置信度 0.70
• A two-class brain computer interface to freely navigate through virtual worlds / Ein Zwei-Klassen-Brain-Computer-Interface zur freien Navigation durch virtuelle Welten
  A brain computer interface that enables navigation through a virtual environment (VE) using four different navigation commands (turn right, turn left, move forward and move back) is presented. A graphical interface allows subjects to select a specific command.…
  crossref Ricardo Ron-Angevin, Antonio Díaz-Estrella, Francisco Velasco-Álvarez 2009-05-26T12:45:20Z 置信度 0.70
• Editor's evaluation: Using adversarial networks to extend brain computer interface decoding accuracy over time
  Incorporating cycle-consistency loss into a generative adversarial network creates a high-performance and robust 'aligner' of neural population activity, permitting a fixed intracortical brain computer interface to be used for months without recalibration and …
  crossref Caleb Kemere 2023-08-23T09:46:30Z 置信度 0.70
• Achievements and Challenges of International Standardisation on Brain-Computer Interface
  As the innovation and application of brain-computer interface (BCI) technology continue to expand, the concerns of ethical, privacy, and security are becoming increasingly prominent. The BCI Standardisation, especially the international standardisation, is cru…
  crossref Yun-tao Yu, Bing Cui 2026-04-01T05:50:39Z 置信度 0.70
• Source space based Brain Computer Interface
  Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and p…
  crossref Jun Sung 2011-10-17T06:30:19Z 置信度 0.70
• AI-Enhanced Synaptic Home Automation: A Brain-Computer Interface Approach
  crossref Alexprabu S P, Madhumitha K, Kavitha V, Sridevi B 2025-06-24T10:54:38Z 置信度 0.70
• The StentrodeTM Neural Interface System
  crossref Nicholas Opie 2021-04-01T11:04:01Z 置信度 0.70
• BCI 2024 Poster Session
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• BCI 2024 Technical Program
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• Index
  AR), 102 AutoEncoder (SAAE), 40Band power, 240-241 Bayesian networks, 36 BCI, 180 BCI application, 77-82, 84-86, 89-91, 93 BCI structure, 280 BCI technology, 3-5
  crossref 2023-02-10T21:26:58Z 置信度 0.70
• Advancing Brain-Computer Interface System Performance in Hand Trajectory Estimation with NeuroKinect
  Brain-computer interface (BCI) technology enables direct communication between the brain and external devices, allowing individuals to control their environment using brain signals. However, existing BCI approaches face three critical challenges that hinder th…
  crossref Sidharth Pancholi, Amita Giri 2023-07-30T08:29:00Z 置信度 0.70
• Visual Motion Onset Brain–Computer Interface
  The paper presents a study of two novel visual motion onset stimulus-based brain–computer interfaces (vmoBCI). Two settings are compared with afferent and efferent to a computer screen center motion patterns. Online vmoBCI experiments are conducted i…
  crossref Jair Pereira Junior, Caio Teixeira, Tomasz Rutkowski 2017-06-15T00:22:38Z 置信度 0.70
• A visual Brain-Computer Interface for gaze-free communication : Algorithms & applications
  Interface Cerveau-Ordinateur visuelle pour la communication sans le regard : algorithmes & applications Les individus ayant des handicaps moteurs sévères, tels que ceux atteints desyndrome d'enfermement ou de dysfonctionnement oculomoteur, rencontrentdes d…
  crossref Arne Van Den Kerchove 2026-04-09T02:05:15Z 置信度 0.70
• The effectiveness of epidural ECoG on brain computer interface in primate
  Recently, several studies have reported use of epidural electrocorticography (eECoG) for brain computer interface (BCI). However the feasibility and performance of eECoG on BCI were not fully evaluated yet. In this study, we aimed to verify the usability of im…
  crossref Jeyeon Lee, Hosuk Choi, Taekyung Kim, Hojong Lee 等 2013-04-26T23:28:33Z 置信度 0.70
• A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface
  In this work, we propose a lightweight Hierarchical Node-wise Localized Diffusion-Convolutional Network (HNLDCNet) for motor imagery (MI) and mental arithmetic (MA) classification tasks based on EEG-fNIRS data. The proposed HNLDCNet utilizes a layer-adaptive a…
  crossref Wentao Huang, Xinyue Song, Dongyang Kuang 2024-04-02T18:37:26Z 置信度 0.70
• [BCI 2022 Front cover]
  crossref 2022-03-17T16:56:01Z 置信度 0.70
• BCI 2024 Cover Page
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• BCI 2019 Poster Session
  crossref 2019-06-17T20:15:31Z 置信度 0.70
• Neuromodulation of the sensory system
  crossref László Halász 2025-04-24T10:01:49Z 置信度 0.70
• Unsupervised Machine Learning based on Neighborhood Interaction Function for BCI(Brain-Computer Interface)
  본 연구는 비교사학습의 대표적인 방법 중 하나인 코호넨의 자기조직화 방법을 기반으로 BCI(Brain-Computer Interface)에 적용 가능한 자율적 기계학습방법을 제안한다. 이를 위해 상호작용 함수를 이용한 학습영역조정방법과 자율적 기계학습규칙을 제안하였다. 학습영역조정과 기계학습은 코호넨의 자기조직화 방법을 기반으로 한 상호작용 함수에 의한 측면제어효과를 이용하였다. 승자 뉴런을 결정하고 난 후 학습 규칙에 따라 뉴런의 연결강도를 조정하고 학습 횟수…
  crossref Gui-Jung Kim, Jung-Soo Han 2015-09-24T02:40:11Z 置信度 0.70
• BCI 2024 Copyright Page
  crossref 2024-04-02T18:37:26Z 置信度 0.70
• BCI 2019 Oral Session
  crossref 2019-06-17T20:15:31Z 置信度 0.70
• BCI 2019 Technical Program
  crossref 2019-06-18T00:15:31Z 置信度 0.70
• New Insights in Brain-Computer Interface Systems
  crossref 2024-01-04T11:09:44Z 置信度 0.70