_cdd271a4-e05a-41fa-96f0-307487648f48.png "2021 대한뇌파신경생리학회 대한뇌파신경생리학회 추계학술대회")
2021 동계학술대회 프로그램
KEEG Workshop - 1일차
| KEEG Workshop | Python을 이용한 뇌파 데이터의 Deep Learning 분석 |
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| 10:00 - 12:00 | Python의 기초 | 황한정(고려대학교) |
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| 12:00 - 13:20 | Lunch | |
| 13:20 - 14:30 | Deep Learning을 이용한 뇌파 분석의 기본 이론 | 임창환(한양대학교) |
| 14:30 - 14:50 | Break time | |
| 14:50 - 17:00 | Pytorch 기반 BrainDecode 툴박스를 이용한 뇌파 딥러닝 분석 | 한창희(동서대학교) |
| 17:00 - 17:10 | Closing Remarks | |
KEEG Symposium - 2일차
| KEEG Symposium | Online Meetup of KEEG 2021 |
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| 09:00 - 10:00 | 등록 | |
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| 10:00 – 10:10 | Opening Remarks | 김성필(UNIST 바이오메디컬공학과) |
| Session 1: EEG Research in Cognitive Neuroscience and Psychology | 좌장: 김성필 (UNIST 바이오메디컬공학과)) | ||
| 10:10 – 10:40 | Electrophysiological correlates of what, where, when components of episodic memory | 이상아 (서울대학교 뇌인지과학과) |
| 10:40 – 11:10 | Measuring automatic responses to text in the reading circuitry using MEG | 주성준 (부산대학교 심리학과) |
| 11:10 – 11:40 | Motion representation in multivariate EEG activity for oculomotor behavior | 이준열 (성균관대 글로벌바이오메디컬공학과) |
| 11:40 – 12:40 | Lunch Break | |
| 12:40 - 13:30 | E -poster presentation | |
| Session 2 : EEG Analysis and Applications | 좌장: 임창환(한앙대학교 생체공학과) | ||
| 13:30 – 14:00 | 3D or not 3D, that is the question: classification of EEG signals with a 3D Multibranched EEGNet | C.S. Nam (North Carolina State University) |
| 14:00 - 14:30 | Quantitative personality prediction based on emotional EEG responses | Dan Zhang (Tsinghua University) |
| 14:30 - 15:00 | Connectivity modeling using deep neural networks for EEG classification | 이종석 (연세대 글로벌융합학부) |
| 15:00 - 15:10 | Coffee Break | |
| Plenary Session | 좌장: 황한정(고려대학교 전자및정보공학과) | ||
| 15:10 -16:10 | Decoding and Decomposing Linear and Nonlinearly Interacting Brain Signals | Klaus-Robert Müller (TU Berlin) |
| 16:10 - 16:20 | Coffee Break | |
| Session 3 : Clinical Applications of EEG | 좌장: 김지선 (순천향대학교 정신건강의학과) | ||
| 16:20 - 16:50 | Machine-learning-based diagnosis of drug-naive adult patients with attention-deficit hyperactivity disorder using mismatch negativity | 김성권 (한양대학교 |CT융합학부) |
| 16:50 - 17:20 | Identification of Major Psychiatric Disorders From Resting-State Electroencephalography Using a Machine Learning Approach | 박수미 (한남대학교 심리학과) |
| 17:20 - 17:50 | Influence of inter-stimulus interval on 40-Hz auditory steady-state response: an electroencephalography study with schizophrenia patients | 최강민 (한양대 생체공학과/인제대 임상감정인지기능연구소) |
| 17:50 - 18:00 | Closing | |
