Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm
about
Neurofeedback Therapy for Enhancing Visual Attention: State-of-the-Art and ChallengesBrain computer interfaces, a review.Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitationDeep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.Non-invasive control interfaces for intention detection in active movement-assistive devices.Focused ultrasound modulates region-specific brain activitySeven topics in functional magnetic resonance imaging.Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.Spatio-temporal activity in real time (STAR): optimization of regional fMRI feedback.Single Voxel Proton Spectroscopy for Neurofeedback at 7 Tesla.Decoding vigilance with NIRSNeuroengineering tools/applications for bidirectional interfaces, brain-computer interfaces, and neuroprosthetic implants - a review of recent progress.Control of Brain Activity in hMT+/V5 at Three Response Levels Using fMRI-Based Neurofeedback/BCI.Training Efficiency and Transfer Success in an Extended Real-Time Functional MRI Neurofeedback Training of the Somatomotor Cortex of Healthy SubjectsFunctional Magnetic Resonance Imaging Neurofeedback-guided Motor Imagery Training and Motor Training for Parkinson's Disease: Randomized TrialNeural interface technology for rehabilitation: exploiting and promoting neuroplasticity.Brain-computer interfaces in medicine.Trends and Challenges in Neuroengineering: Toward "Intelligent" Neuroprostheses through Brain-"Brain Inspired Systems" Communication.Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.High-throughput optogenetic functional magnetic resonance imaging with parallel computations.Higher-order brain areas associated with real-time functional MRI neurofeedback training of the somato-motor cortex.The inclusion of functional connectivity information into fMRI-based neurofeedback improves its efficacy in the reduction of cigarette cravings.Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features.Towards Rehabilitation Robotics: Off-the-Shelf BCI Control of Anthropomorphic Robotic Arms.Translating the brain-machine interface.Decoding the individual finger movements from single-trial functional magnetic resonance imaging recordings of human brain activity.Workshops of the Sixth International Brain-Computer Interface Meeting: brain-computer interfaces past, present, and future.The Impact of Different Visual Feedbacks in User Training on Motor Imagery Control in BCI.When the brain takes 'BOLD' steps: Real-time fMRI neurofeedback can further enhance the ability to gradually self-regulate regional brain activation.Neurofeedback-based functional near-infrared spectroscopy upregulates motor cortex activity in imagined motor tasks.Towards Brain-Computer Interface Control of a 6-Degree-of-Freedom Robotic Arm Using Dry EEG Electrodes
P2860
Q26740639-9E0637AD-EBA0-4831-B547-5664C428B4E9Q26995073-A6B56A96-C6A1-4495-A4C8-D6F40E6C5A40Q28079642-AE349231-5B60-40AD-A2CB-93719BACEF49Q30366937-B07EB2BD-E0DA-4B75-A5F7-FC0355C4B619Q30409663-C0F6ECA7-1A6A-4FC8-B5BE-42627CDEFB44Q30467864-5F4BBEF3-7470-44E8-952C-1C1B605142D8Q30474733-C7FD802D-F60B-4866-BCB3-D4541BBF389CQ30481612-9F99D714-BADD-4C42-89CE-6A23AD30EC59Q30498684-2E06F58C-EEA5-4B88-BA52-7252FBF4F5E7Q30731859-7A303682-E034-47A4-91EF-CDC6EE9F0024Q33916263-D62C8851-BEB0-47CE-8D33-8C4E13EFC4F1Q34275587-8A3EABA0-0762-473F-B738-83AB4ACC17DDQ36026634-51302376-6F38-4E0D-85AD-17A5AD8371B6Q36139167-76620042-1EB5-4B0B-A608-6DDBFBFC4B21Q36978670-1A95CC70-DED4-4A62-91A3-6F4E3A93CF1BQ37458575-6390C34F-F623-496A-880F-1EBF60B26D4CQ37983176-81089425-BCAC-45A8-8AE6-2271785F4B7AQ38813224-8AE44DA6-3D7B-4AFA-91E2-EED6981E0684Q39169358-C12530F8-0408-4A26-843D-1420F8798B56Q39405577-479EF46F-57FF-4059-B0AD-FC27A9D4E51BQ39805708-2A018611-8B1A-40BF-8403-E78457323856Q41245341-BC2B71D0-BE8C-456C-8DFA-61B3741FAFD0Q41665206-BE221291-EA18-4FBB-9F36-4F74FFB4B62FQ41691012-287450F4-D7DA-46CF-B001-BEB5A16BEB7DQ43486204-42232F03-60AA-4780-AC72-C8BE344ED0AFQ43601261-D1E360F5-0A97-49D4-BEA3-DDF1C602B268Q46196108-80856349-3898-480B-9C37-71C00EFFE333Q47288490-DEBB8D8C-6BD2-469C-9825-483E5131354EQ47906466-80D20545-F312-4C41-9C0F-95913CE58D71Q47955091-F97FCC7B-37DF-41D6-9265-747A2D5F609EQ58918439-872A0871-6D86-4A91-A358-26B402339D60
P2860
Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm
description
2008 nî lūn-bûn
@nan
2008 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Brain-machine interface via re ...... thought-controlled robotic arm
@ast
Brain-machine interface via re ...... thought-controlled robotic arm
@en
type
label
Brain-machine interface via re ...... thought-controlled robotic arm
@ast
Brain-machine interface via re ...... thought-controlled robotic arm
@en
prefLabel
Brain-machine interface via re ...... thought-controlled robotic arm
@ast
Brain-machine interface via re ...... thought-controlled robotic arm
@en
P2093
P2860
P1433
P1476
Brain-machine interface via re ...... thought-controlled robotic arm
@en
P2093
Ferenc A Jolesz
Jeongwon Ryu
Jong-Hwan Lee
Seung-Schik Yoo
Zang-Hee Cho
P2860
P356
10.1016/J.NEULET.2008.11.024
P407
P577
2008-11-14T00:00:00Z