Han-Gue Jo
Biographic Data
| ID | 7532538 |
|---|---|
| NAME | Han-Gue Jo |
| GIVEN NAMES | Han-Gue |
| FAMILY NAME | Jo |
| SIGNATURE | JO H |
| AFFILIATIONS | Kunsan National University |
| ORCID | 0000-0003-0974-2951 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Identifying the duration of emotional stimulus presentation for conscious versus subconscious perception via hierarchical drift diffusion models
To investigate subliminal priming effects, different durations for stimulus presentation are applied ranging from 8 to 30 ms. This study aims to select an optimal presentation span whichleads to a subconscious processing. 40 healthy participants rated emotional faces (sad, neutral or happy expression) presented for 8.3 ms, 16.7 ms and 25 ms. Alongside subjective and objectivestimulus awareness, task performance was estimated via hierarchical drif…
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity
Major depressive disorder (MDD) is characterized by impairments in mood and cognitive functioning, and it is a prominent source of global disability and stress. A functional magnetic resonance imaging (fMRI) can aid clinicians in their assessments of individuals for the identification of MDD. Herein, we employ a deep learning approach to the issue of MDD classification. Resting-state fMRI data from 821 individuals with MDD and 765 healthy control…
First-person approaches in neuroscience of consciousness
No prominent works on this page.
First-person approaches in neuroscience of consciousness
Identifying the duration of emotional stimulus presentation for conscious versus subconscious perception via hierarchical drift diffusion models
To investigate subliminal priming effects, different durations for stimulus presentation are applied ranging from 8 to 30 ms. This study aims to select an optimal presentation span whichleads to a subconscious processing. 40 healthy participants rated emotional faces (sad, neutral or happy expression) presented for 8.3 ms, 16.7 ms and 25 ms. Alongside subjective and objectivestimulus awareness, task performance was estimated via hierarchical drif…
Ensemble graph neural network model for classification of major depressive disorder using whole-brain functional connectivity
Major depressive disorder (MDD) is characterized by impairments in mood and cognitive functioning, and it is a prominent source of global disability and stress. A functional magnetic resonance imaging (fMRI) can aid clinicians in their assessments of individuals for the identification of MDD. Herein, we employ a deep learning approach to the issue of MDD classification. Resting-state fMRI data from 821 individuals with MDD and 765 healthy control…
Neuroscience (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Cognitive psychology (2 works) · Computer Science (2 works) · Neural and Behavioral Psychology Studies (2 works) · Audiology (1 work) · Brain activity and meditation (1 work) · Cognition (1 work) · Cognitive science (1 work)