CV
Dengzhe Hou
Summary
Ph.D. Candidate in Information Sciences (Cognitive Neuroscience / Vision Science) at Tohoku University. JSPS DC2 Fellow. Research focuses on the brain mechanisms of self-initiated attentional control using EEG, eye-tracking, and computational modeling.
Education
- Ph.D. Candidate, Information Sciences (Cognitive Neuroscience / Vision Science / Psychology)2026-03-31Tohoku UniversityCourses: Thesis: Exploring Brain Mechanisms of Self-Initiated Attention Shift: Simultaneous Recording of EEG and Eye Movements, Advisors: Prof. Satoshi Shioiri, Prof. Shuichi Sakamoto, Assoc. Prof. Chia-huei Tseng, Visual Cognition and Systems Laboratory
- Visiting PhD Scholar — Department of Neurology, MGH2025-01-31Harvard Medical School / Massachusetts General HospitalCourses: Training in sEEG, hyperscanning, and neural mechanisms of speech and interactive communication, Advisors: Instructor Jing (Jill) Cai, Prof. Sydney S. Cash
- M.S., Information Sciences2023-03-31Tohoku UniversityCourses: Visual Cognition and Systems Laboratory, Advisors: Prof. Satoshi Shioiri, Assoc. Prof. Chia-huei Tseng
- B.Eng., Electronic and Information Engineering (Automation)2020-07-31Tongji UniversityGPA: 4.15/5.0 (Top 30%)
Work Experience
- Teaching Assistant2022-04-01 -Graduate School of Information Sciences, Tohoku UniversityTeaching Assistant for data science and machine learning courses. Supervisors: Prof. Kazunori Yamada, Assoc. Prof. Samy Baladram.
- Machine Learning Basics (2024 spring)
- Data Science Programming Basics (2024 spring)
- Data Engineering (2024 spring)
- Data Science Training I (2024 spring, 2022 spring)
- Data Science Training II (2024 spring)
- Data Science Basic (2023 fall)
- Data Science Skill Up Exercise (2022 spring)
Skills
Neuroimaging & Psychophysics
- EEG/ERP
- Eye-tracking
- sEEG
- Gaze-contingent paradigms
- Visual psychophysics
Computational Methods
- Time-frequency analysis
- Neural decoding (MVPA)
- Accumulation-to-bound modeling
- Machine learning
- Signal processing
Programming
- Python
- MATLAB
- R
- EEGLab
- MNE-Python
Publications
- Task-constrained self-initiated attention shifts are indexed by frontal-midline theta ramping2025Frontiers in Human NeuroscienceHou D., Sun S., Hatori Y., Tseng C., & Shioiri S. (2025). EEG study revealing frontal-midline theta ramping as a neural index of voluntary attentional preparation.
- EEG Activity Over Ipsilateral and Contralateral M1 During Simple and Complex Hand Tasks: Variations with Motor Learning2025Frontiers in NeuroscienceZhao J., Wang Y., Hou D., Négyesi J., Qiu D.L., & Nagatomi R. (2025). Frontiers in Neuroscience, 19, 1681250.
- Commonality of neuronal coherence for motor skill acquisition and interlimb transfer2025Scientific ReportsZhao J., Wang Y., Hou D., Sun S., Négyesi J., Inada H., Shioiri S., & Nagatomi R. (2025). Scientific Reports, 15(1), 26276.
Presentations
- A unified neural model in representing and modulating decision parameters underlying emotional ambiguity2025Japanese Neuroscience Society Annual Meeting 2025Niigata, JapanOral talk
- EEG-Based Decoding of Voluntary Attentional Control: Differentiating Self-Initiated Shifts in a Visual Search Paradigm2025EPC & APCV Joint Meeting 2025 — UNSW ConferencesSydney, AustraliaPoster
- Attention guides reward-based decision-making as measured by SSVEPs2024Society for Neuroscience (SfN) Annual Meeting 2024Chicago, IL, USAPoster
- Exploring Mechanisms of Self-initiated Attention Shifts: Analysis of Theta Wave2024The 16th Asia Pacific Conference on Vision (APCV 2024)JapanPoster
- Self-initiation of attentional shift during visual search2023European Conference on Visual Perception (ECVP 2023)Paphos, CyprusOral talk — ECVP Student Travel Award recipient
- Neural activities preceding self-initiated attention (alpha wave analysis)2023European Conference on Visual Perception (ECVP 2023)Paphos, CyprusPoster (Shioiri S., Wu W., Kobayashi K., Hou D., et al.)
- Critical brain states related with self-initiated attentional shift2022Journal of Vision (VSS / ECVP-affiliated abstract)JapanTalk (Wu W., Kobayashi K., Hou D., et al.)
Teaching
- Teaching Assistant — Data Science & Machine Learning Courses2022Graduate School of Information Sciences, Tohoku UniversityRole: Teaching AssistantSupervised lab sessions, assisted students with programming assignments, and supported course delivery across 7 data science and machine learning courses (2022–2024). Supervisors: Prof. Kazunori Yamada, Assoc. Prof. Samy Baladram.
Languages
- Chinese (Mandarin)Native or bilingual proficiency
- EnglishProfessional working proficiency (TOEIC 910/990, TOEFL 90/120)
- JapaneseLimited working proficiency (JLPT N2)
Interests
- Visual AttentionSelf-initiated attentional control, Eye movements, Visual search
- Cognitive NeuroscienceEEG oscillations, Neural decoding, Decision-making, sEEG