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Research
Prof.Byoung-Kyong Min’s paper accepted in Scientific Reports
Author Administrator (IP: *.152.74.116) Date 2016-10-13 09:50 Views 1,534
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Prof. Byoung-Kyong Min’s new research on `Decoding of top-down cognitive processing for SSVEP-controlled BMI` was accepted in Scientific Reports.

 

Title: Decoding of top-down cognitive processing for SSVEP-controlled BMI

 

Abstract:

We present a fast and accurate non-invasive brain-machine interface (BMI) based on demodulating steady-state visual evoked potentials (SSVEPs) in electroencephalography (EEG). Our study reports an SSVEP-BMI that, for the first time, decodes primarily based on top-down and not bottom-up visual information processing. The experimental setup presents a grid-shaped flickering line array that the participants observe while intentionally attending to a subset of flickering lines representing the shape of a letter. While the flickering pixels stimulate the participant’s visual cortex uniformly with equal probability, the participant’s intention groups the strokes and thus perceives a ‘letter Gestalt.’ We observed decoding accuracy of 35.81% (up to 65.83%) with a regularized linear discriminant analysis; on average 2.05-fold, and up to 3.77-fold greater than chance levels in multi-class classification. Compared to the EEG signals, an electrooculogram (EOG) did not significantly contribute to decoding accuracies. Further analysis reveals that the top-down SSVEP paradigm shows the most focalised activation pattern around occipital visual areas; Granger causality analysis consistently revealed prefrontal top-down control over early visual processing. Taken together, the present paradigm provides the first neurophysiological evidence for the top-down SSVEP BMI paradigm, which potentially enables multi-class intentional control of EEG-BMIs without using gaze-shifting.



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Research
Prof. Seong-Whan Lee's paper accepted in Pattern Recognition
Prof. Seong-Whan Lee's paper accepted in Pattern Recognition
Prof. Seong-Whan Lee's new research,  Discriminative Context Learning with Gated Recurrent Unit for Group Activity Recognition was accepted in Pattern Recognition.  Title: Discriminative Context Learning with Gated Recurrent Unit for Group Activity Recognition  Abstract In this study, we address the problem of similar local motions that create confusion within different group activities. To reduce the influences…

2017-11-13

Prof. Byoung-Kyong Min's paper accepted in Hearing Research
Prof. Byoung-Kyong Min's paper accepted in Hearing Research
Prof. Byoung-Kyong Min's new research, The Absence of Resting-state High-Gamma Cross-Frequency Coupling in Patients with Tinnitus was accepted in Hearing Research.Title: The Absence of Resting-state High-Gamma Cross-Frequency Coupling in Patients with Tinnitus Abstract:Tinnitus is a psychoacoustic phantom perception of currently unknown neuropathology. Despite a growing number of post-stimulus tinnitus studies, uncertainty still exists regar…

2017-10-23

Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgical Anesthesiology
Prof. Dong-Joo Kim's paper accepted in Journal of Neurosurgical Anesthesiology
Prof. Dong-Joo Kim's new research,  Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network Analysis was accepted in Journal of Neurosurgical Anesthesiology.Title: Hemodynamic Instability and Cardiovascular Events After Traumatic Brain Injury Predict Outcome After Artifact Removal With Deep Belief Network AnalysisAbstract:- Background: Hemodynamic ins…

2017-09-27

Prof. Christian Wallraven’s paper accepted in Brain Structure and Function
Prof. Christian Wallraven’s paper accepted in Brain Structure and Function
Prof. Christian Wallraven’s new research on Neuroanatomical Correlates of Haptic Object Processing: Combined Evidence from Tractography and Functional Neuroimaging was accepted in Brain Structure and Function.Title: Neuroanatomical Correlates of Haptic Object Processing: Combined Evidence from Tractography and Functional NeuroimagingAbstract: Touch delivers a wealth of information already from birth, helping infants to acquire knowledge ab…

2017-09-06

Prof. Seong-Whan Lee's paper accepted in Human Brain Mapping
Prof. Seong-Whan Lee's paper accepted in Human Brain Mapping
Prof. Seong-Whan Lee's new research, Multiple Functional Networks Modeling for Autism Spectrum Disorder Diagnosis was accepted in Human Brain Mapping. Title: Multiple Functional Networks Modeling for Autism Spectrum Disorder Diagnosis AbstractDespite countless studies on Autism Spectrum Disorder (ASD), diagnosis relies on specific behavioral criteria and neuroimaging biomarkers for the disorder are still relatively scarce and …

2017-08-08

Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering
Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Neural Systems and Rehab…
Prof. Seong-Whan Lee's new research, Motion-based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces was accepted in IEEE Trans. on Neural Systems and Rehabilitation Engineering. Title: Motion-based Rapid Serial Visual Presentation for Gaze-Independent Brain-Computer Interfaces  Abstract: Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts, …

2017-08-02

Prof. Dong-Joo Kim's paper accepted in Neurosurgery
Prof. Dong-Joo Kim's paper accepted in Neurosurgery
Prof. Dong-Joo Kim's new research, Abilities of a Densitometric Analysis of Computed Tomography Images and Hemorrhagic Parameters to Predict Outcome Favorability in Patients with Intracerebral Hemorrhagewas accepted in Neurosurgery. Title: Abilities of a Densitometric Analysis of Computed Tomography Images and Hemorrhagic Parameters to Predict Outcome Favorability in Patients with Intracerebral Hemorrhage Abstract: - Background: In…

2017-06-20

Prof. Byoung-Kyong Min's paper accepted in IEEE Transactions on Information Forensics and Security
Prof. Byoung-Kyong Min's paper accepted in IEEE Transactions on Information Fore…
Prof. Byoung-Kyong Min's new research, Individual Identification using Cognitive Electroencephalographic Neurodynamics was accepted in IEEE Transactions on Information Forensics and Security. Title: Individual Identification using Cognitive Electroencephalographic Neurodynamics Abstract:As the brain is a unique biological system that reflects the subtle distinctions in the mental attributes of individual humans, electroencephalogra…

2017-05-04

Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's paper accepted in Trends in Biotechnology
Prof. Byoung-Kyong Min's new research, Harnessing Prefrontal Cognitive Signals for Brain-Machine Interfaces was accepted in Trends in Biotechnology. Title: Harnessing Prefrontal Cognitive Signals for Brain-Machine Interfaces Abstract:Brain-machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly…

2017-03-15

Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence
Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Pattern Analysis and Mac…
Prof. Seong-Whan Lee's new research, A Novel Linelet-based Representation for Line Segment Detection was accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence. Title: A Novel Linelet-based Representation for Line Segment Detection Abstract: This paper proposes a method for line segment detection in digital images.We propose a novel linelet-based representation to model intrinsic properties of line segments in rasterized image …

2017-02-14

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