about
Penalized Multi-Way Partial Least Squares for Smooth Trajectory Decoding from Electrocorticographic (ECoG) RecordingNeurofeedback Therapy for Enhancing Visual Attention: State-of-the-Art and ChallengesBrain computer interfaces, a review.Closed-Loop Control of a Neuroprosthetic Hand by Magnetoencephalographic SignalsCommon neural correlates of real and imagined movements contributing to the performance of brain-machine interfacesReal-Time Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals from Paralysed Patients.fNIRS-based brain-computer interfaces: a reviewDecoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humansA Brain-Computer Interface Based on Bilateral Transcranial Doppler UltrasoundNon-invasive control interfaces for intention detection in active movement-assistive devices.A direct brain-to-brain interface in humansPrediction of P300 BCI aptitude in severe motor impairment.Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.Craniux: a LabVIEW-based modular software framework for brain-machine interface research.A Real-Time Magnetoencephalography Brain-Computer Interface Using Interactive 3D Visualization and the Hadoop EcosystemNon-invasive transmission of sensorimotor information in humans using an EEG/focused ultrasound brain-to-brain interface.Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic strokeCombining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.Operationalizing Cognitive Science and Technologies' Research and Development; the "Brain and Cognition Study Group (BCSG)" Initiative from Shiraz, Iran.Decoding and cortical source localization for intended movement direction with MEG.rtMEG: a real-time software interface for magnetoencephalographyA procedure for measuring latencies in brain-computer interfaces.Improving the performance of an EEG-based motor imagery brain computer interface using task evoked changes in pupil diameterBayesian spatial filters for source signal extraction: a study in the peripheral nerveRehabilitation of gait after stroke: a review towards a top-down approach.Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arraysParietofrontal integrity determines neural modulation associated with grasping imagery after stroke.MEG-based neurofeedback for hand rehabilitation.Comparing Features for Classification of MEG Responses to Motor Imagery.Brain state-triggered stimulus delivery: An efficient tool for probing ongoing brain activity.Brain-machine interfaces and transcranial stimulation: future implications for directing functional movement and improving function after spinal injury in humansHybrid Neuroprosthesis for the Upper Limb: Combining Brain-Controlled Neuromuscular Stimulation with a Multi-Joint Arm ExoskeletonRemoving Cardiac Artefacts in Magnetoencephalography with Resampled Moving Average Subtraction.Gamma band activity associated with BCI performance: simultaneous MEG/EEG study.Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity.Toward functioning and usable brain-computer interfaces (BCIs): a literature review.Brain-computer interfaces in medicine.Physiological properties of brain-machine interface input signals.An emergency call system for patients in locked-in state using an SSVEP-based brain switch.Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.
P2860
Q24658571-ABD122AA-C871-412B-A746-2A45A34FF511Q26740639-52CE5B51-4DE1-4E9D-8BA6-8D145846B1E9Q26995073-D0F15355-79CF-41AB-AA86-00262ED37CF3Q27303583-7B0A28F0-08A2-407D-A7FF-E5EC4111123DQ27320763-0298BD43-542A-4F55-9E6E-05D9C4F259EFQ27343639-770B363F-8A1F-4D67-B433-69ADF929CAEBQ28081503-1A4C4A28-40C3-4895-A8E3-AF698B3C07BDQ28243133-F5B4556B-24D1-4B74-B089-D4F3F9025264Q29037235-728AD18F-83BD-48A6-8936-15D75FFCABDDQ30409663-39D09E19-3F8C-44BE-9534-FFB295EC1710Q30426375-26CBCFD2-A1BD-4B41-8061-E62B52E9EA98Q30447474-AB93F2AD-7123-4062-8ED0-F58C14BEF1BDQ30481612-753BE634-5CD9-4C81-9620-65B985444BEFQ30485048-32F5BF57-1DA9-4F04-98F2-CF432A7308FAQ30488400-BC9D41C1-F76B-4E3F-B8C5-AFEE54EA4293Q33783655-A51A0C8D-9CAE-4C32-8089-B3BEAADBE485Q33864898-B27EAF2F-15D1-438B-95FB-60CB6302147AQ34151441-B0809C7B-E9F2-42BD-A2E9-9756D705B72BQ34368128-14306FD4-7706-4409-941C-C5417EE041C8Q34379607-5B20F675-6204-449E-924A-B3E88334E981Q35040270-900D055A-A604-4D68-A86F-EF5A995F6A4CQ35180931-7FA43A8F-90AC-4E4D-869C-E6D5808C38C6Q35225389-AF05D630-7274-49FD-9DB8-819D94E44FEEQ35249793-33A95189-9D1D-479B-8E25-B2C13702E903Q35680299-8E0C3BC8-B4F9-4921-99C8-8004856E2335Q35711152-EF5E5236-DB23-4D8E-BA4D-75E9B8FBD8E7Q35776369-37493933-3440-4DC4-BB6C-E16798DFEC19Q36082992-E8E013E3-FB2C-4E2E-9B6A-04EE8D3592BEQ36228532-537474EB-8510-41C1-AA17-3901B64EE3A8Q36492200-CDC00279-8F3A-4FF4-A986-B215FFF71DFDQ36935118-753BAE41-5C6A-4425-9CA1-AA61D67CC9CAQ37159278-056FF387-BD05-4578-8D60-2F256C58C2E8Q37321677-6CF9FF9F-4391-4B26-95B5-A14CFD495C89Q37369025-3561B933-A476-409D-9FB6-9F0ADAA98934Q37458575-ADE9A42C-ABAA-408D-B854-4A3529B334AFQ37941840-B292FAB7-9507-400F-AAE0-7FE8439E0BC4Q37983176-07601029-6FDB-4ACF-99DB-8BA5CA7B4D99Q38671014-1BDC84EB-7C2B-45AA-9EFF-7BCBF2C7E954Q38684309-C3B366C5-169D-4DA4-82E3-D3935C81F0C7Q39169358-EBBB2810-ACFB-4047-8932-7437AFD7DD12
P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
An MEG-based brain-computer interface (BCI).
@ast
An MEG-based brain-computer interface (BCI).
@en
type
label
An MEG-based brain-computer interface (BCI).
@ast
An MEG-based brain-computer interface (BCI).
@en
prefLabel
An MEG-based brain-computer interface (BCI).
@ast
An MEG-based brain-computer interface (BCI).
@en
P2093
P2860
P50
P1433
P1476
An MEG-based brain-computer interface (BCI).
@en
P2093
Christoph Braun
Jürgen Mellinger
Wolfgang Rosenstiel
P2860
P304
P356
10.1016/J.NEUROIMAGE.2007.03.019
P407
P577
2007-03-27T00:00:00Z