Hohyun Cho
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View article: Mind’s eye: Saccade-related evoked potentials support visual encoding in humans
Mind’s eye: Saccade-related evoked potentials support visual encoding in humans Open
SUMMARY In active vision, the brain receives and encodes discontinuous streams of visual information gated by saccadic eye movements. Saccadic modulation of neural activity is hypothesized to evolve to support perception and memory; howeve…
View article: Author response: Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics
Author response: Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics Open
View article: Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics
Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics Open
Determining the presence and frequency of neural oscillations is essential to understanding dynamic brain function. Traditional methods that detect peaks over 1/ f noise within the power spectrum fail to distinguish between the fundamental…
View article: Reviewer #2 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Reviewer #2 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: Reviewer #1 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Reviewer #1 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: Author response: Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Author response: Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: Graded decisions in the human brain
Graded decisions in the human brain Open
View article: A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study
A novel theta-controlled vibrotactile brain–computer interface to treat chronic pain: a pilot study Open
Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain–computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying chronic pain by convertin…
View article: Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics
Novel cyclic homogeneous oscillation detection method for high accuracy and specific characterization of neural dynamics Open
Determining the presence and frequency of neural oscillations is essential to understanding dynamic brain function. Traditional methods that detect peaks over 1/ f noise within the power spectrum fail to distinguish between the fundamental…
View article: Reviewer #2 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Reviewer #2 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: Reviewer #1 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Reviewer #1 (Public Review): Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics
Novel Cyclic Homogeneous Oscillation Detection Method for High Accuracy and Specific Characterization of Neural Dynamics Open
Detecting temporal and spectral features of neural oscillations is essential to understanding dynamic brain function. Traditionally, the presence and frequency of neural oscillations are determined by identifying peaks over 1/f noise withi…
View article: High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task
High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task Open
Motor action after auditory stimulus elicits high gamma responses in sensory-motor and auditory cortex, respectively. We show that high gamma coherence reliably and greatly increased during motor response, but not after auditory stimulus. …
View article: Supplementary material accompanying "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task"
Supplementary material accompanying "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task" Open
Supplemental figures and tables for "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task"
View article: Unexpected sound omissions are signaled in human posterior superior temporal gyrus: an intracranial study
Unexpected sound omissions are signaled in human posterior superior temporal gyrus: an intracranial study Open
Context modulates sensory neural activations enhancing perceptual and behavioral performance and reducing prediction errors. However, the mechanism of when and where these high-level expectations act on sensory processing is unclear. Here,…
View article: A Novel Theta-Controlled Vibrotactile Brain-Computer Interface To Treat Chronic Pain: A Pilot Study
A Novel Theta-Controlled Vibrotactile Brain-Computer Interface To Treat Chronic Pain: A Pilot Study Open
Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying chronic pain by convertin…
View article: Dataset and code accompanying publication: "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task"
Dataset and code accompanying publication: "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task" Open
For questions, contact Peter Brunner, PhD ([email protected]) Code written by Shashank Anand ([email protected]) and Hohyun Cho ([email protected]) This repository contains the processed data and MATLAB scripts (*.m) used to create the fi…
View article: Dataset and code accompanying publication: "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task"
Dataset and code accompanying publication: "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task" Open
For questions, contact Peter Brunner, PhD ([email protected]) Code written by Shashank Anand ([email protected]) and Hohyun Cho ([email protected]) This repository contains the processed data and MATLAB scripts (*.m) used to create the fi…
View article: Analog, graded choices in the human brain
Analog, graded choices in the human brain Open
Decision-makers objectively commit to a definitive choice, yet at the subjective level, human decisions appear to be associated with a degree of certainty. Whether decisions are definitive—concluding in all-or-none choices, or whether the …
View article: Editorial: Deep Learning in Brain-Computer Interface
Editorial: Deep Learning in Brain-Computer Interface Open
EDITORIAL article Front. Hum. Neurosci., 19 May 2022Sec. Brain-Computer Interfaces https://doi.org/10.3389/fnhum.2022.927567
View article: Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans
Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans Open
The scientific and clinical value of event-related potentials (ERPs) depends on understanding the contributions to them of three possible mechanisms: (1) additivity of time-locked voltage changes; (2) phase resetting of ongoing oscillation…
View article: Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans"
Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans" Open
Electrocorticographic (ECoG) activity from eight human subjects; Electroencephalographic (EEG) activity from seven human subjects; recorded during a simple reaction-time task. For questions, contact Peter Brunner, PhD (brunner@neurotechcen…
View article: Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans"
Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans" Open
Electrocorticographic (ECoG) activity from eight human subjects; Electroencephalographic (EEG) activity from seven human subjects; recorded during a simple reaction-time task. For questions, contact Peter Brunner, PhD (brunner@neurotechcen…
View article: Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans"
Dataset and code accompanying publication: "Revealing the Physiological Origin of Event-Related Potentials using Electrocorticography in Humans" Open
Electrocorticographic (ECoG) activity from eight human subjects; Electroencephalographic (EEG) activity from seven human subjects; recorded during a simple reaction-time task. For questions, contact Peter Brunner, PhD (brunner@neurotechcen…
View article: Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance
Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance Open
Motor-imagery brain-computer interface (MI-BCI) is a technique that manipulates external machines using brain activities, and is highly useful to amyotrophic lateral sclerosis patients who cannot move their limbs. However, it is reported t…
View article: Interbrain phase synchronization during turn-taking verbal interaction-a hyperscanning study using simultaneous EEG/MEG: Synchronization During Turn-Taking Verbal Interaction
Interbrain phase synchronization during turn-taking verbal interaction-a hyperscanning study using simultaneous EEG/MEG: Synchronization During Turn-Taking Verbal Interaction Open
Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has been developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies have enabled us …
View article: Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction
Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction Open
View article: Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues Open
Social interaction is one of humans’ most important activities and many efforts have been made to understand the phenomenon. Recently, some investigators have attempted to apply advanced brain signal acquisition systems that allow dynamic …