Jaeseung Jeong

Jaeseung Jeong

KAIST

H-index: 38

Asia-South Korea

About Jaeseung Jeong

Jaeseung Jeong, With an exceptional h-index of 38 and a recent h-index of 28 (since 2020), a distinguished researcher at KAIST, specializes in the field of Decision neuroscience, Nonlinear brain dynamics, Connectome, Computational Neuroscience, Brain-Robot Interface.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Impact of Mini-batch Design on EEG Classification in Anomaly Detection for Video Surveillance

Two-channel EEG based diagnosis of panic disorder and major depressive disorder using machine learning and non-linear dynamical methods

Neural representations for multi-context visuomotor adaptation and the impact of common representation on multi-task performance: a multivariate decoding approach

Decoding trajectories of imagined hand movement using electrocorticograms for brain–machine interface

Electroencephalogram microstates and functional connectivity of cybersickness

How ‘who someone is’ and ‘what they did’influences gossiping about them

Experience of a hierarchical relationship between a pair of mice specifically influences their affective empathy toward each other

An electrocorticographic decoder for arm movement for brain–machine interface using an echo state network and Gaussian readout

Jaeseung Jeong Information

University

Position

Professor of Bio and Brain Engineering

Citations(all)

7130

Citations(since 2020)

3179

Cited By

5163

hIndex(all)

38

hIndex(since 2020)

28

i10Index(all)

85

i10Index(since 2020)

63

Email

University Profile Page

Google Scholar

Jaeseung Jeong Skills & Research Interests

Decision neuroscience

Nonlinear brain dynamics

Connectome

Computational Neuroscience

Brain-Robot Interface

Top articles of Jaeseung Jeong

The Impact of Mini-batch Design on EEG Classification in Anomaly Detection for Video Surveillance

2024/2/26

Jaehyun Kim
Jaehyun Kim

H-Index: 8

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

Two-channel EEG based diagnosis of panic disorder and major depressive disorder using machine learning and non-linear dynamical methods

Psychiatry Research: Neuroimaging

2023/7/1

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

Neural representations for multi-context visuomotor adaptation and the impact of common representation on multi-task performance: a multivariate decoding approach

Frontiers in Human Neuroscience

2023

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

Decoding trajectories of imagined hand movement using electrocorticograms for brain–machine interface

Journal of Neural Engineering

2022/9/7

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

Electroencephalogram microstates and functional connectivity of cybersickness

Frontiers in Human Neuroscience

2022/8/22

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

How ‘who someone is’ and ‘what they did’influences gossiping about them

Plos one

2022/7/6

Jeungmin Lee
Jeungmin Lee

H-Index: 2

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

Experience of a hierarchical relationship between a pair of mice specifically influences their affective empathy toward each other

Genes, Brain and Behavior

2022/6

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

An electrocorticographic decoder for arm movement for brain–machine interface using an echo state network and Gaussian readout

Applied Soft Computing

2022/3/1

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

Prefrontal solution to the bias-variance tradeoff during reinforcement learning

Cell Reports

2021/12/28

EEG measures for clinical research in major vascular cognitive impairment: recommendations by an expert panel

2021/7/1

Understanding human social communication: a computational model of gossip

Virtual MathPsych/ICCM

2021

Jeungmin Lee
Jeungmin Lee

H-Index: 2

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

In-ear EEG based attention state classification using echo state network

Brain sciences

2020/5/26

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

Computational Modeling of Human Social Intelligence and Communication

Virtual MathPsych/ICCM

2020

Jeungmin Lee
Jeungmin Lee

H-Index: 2

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting state EEG rhythms. Part 1 …

2020/1/1

Retrospective evaluation of sequential events and the influence of preference-dependent working memory: a computational examination

Frontiers in Computational Neuroscience

2020/9/11

Jaeseung Jeong
Jaeseung Jeong

H-Index: 27

See List of Professors in Jaeseung Jeong University(KAIST)

Co-Authors

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