QUANG TRUNG PHAM

Last Updated :2025/07/03

Affiliations, Positions
Center for Brain, Mind and KANSEI Sciences Research, Assistant Professor
E-mail
trungpqhiroshima-u.ac.jp
Self-introduction
My research focuses on modeling the brain sensory processing using artificial neural networks and function MRI. I aim to understand how the complex sensory information integrates to form the human perception (specific focus on haptic perception).

Basic Information

Academic Degrees

  • Nagoya Institute of Technology
  • Nagoya Institute of Technology

Research Keywords

  • Functional MRI Haptics Computational Neuroscience

Affiliated Academic Societies

  • JNSS
  • SICE
  • IEEE

Research Activities

Academic Papers

  1. Two photon Imaging of DiO labelled Meissner Corpuscle in Living Mouses Fingertip, IEEE Transactions on Haptics, 9(4), 483-491, 201610
  2. An FE Simulation Study on Population Response of RA-I Mechanoreceptor to different Widths of Square Indenter, SICE Journal of Control, Measurement, and System Integration, 10(5), 426-432, 201710
  3. ★, Effect of 3D microstructure of dermal papillae on SED concentration at a mechanoreceptor location, PLOS ONE, 12(12), e0189293-e0189293, 201712
  4. ★, Role of Extrinsic Mechanical Force in The Development of The RA-I Tactile Mechanoreceptor, Scientific Reports, 8, 11085-11085, 201807
  5. Controlling the nonadiabatic electron-transfer reaction rate through molecular-vibration polaritons in the ultrastrong coupling regime, Scientific Reports, 10(1), 20201201
  6. Counterfactual Explanation of Brain Activity Classifiers Using Image-To-Image Transfer by Generative Adversarial Network., Frontiers in neuroinformatics, 15, 802938-802938, 2021
  7. Distillation of Regional Activity Reveals Hidden Content of Neural Information in Visual Processing., Frontiers in human neuroscience, 15, 777464-777464, 2021
  8. Direct and ultrafast probing of quantum many-body interactions through coherent two-dimensional spectroscopy: From weak- to strong-interaction regimes, Physical Review B, 104(11), 20210903
  9. On co-activation pattern analysis and non-stationarity of resting brain activity., NeuroImage, 249, 118904-118904, 20220401
  10. ★, Evaluation of the Hierarchical Correspondence between the Human Brain and Artificial Neural Networks: A Review, Biology, 12(10), 1330-1330, 20231012

Invited Lecture, Oral Presentation, Poster Presentation

  1. Individualized Recurrent Neural Network as an Encoding Model of Human Haptic Shape Recognition, Trung Quang Pham, Hiep Hoang Ly, Hiroki Ishizuka, Norihiro Sadato, and Junichi Chikazoe, 2022/11, Without Invitation, English, Virtual Reality Society of Japan, Tokyo
  2. A Convolutional Neural Network for Predicting Functional MRI Responses from EEG Signals, Trung Quang Pham, Ryota Kanai, and Junichi Chikazoe, The 46th Annual Meeting of the Japan Neuroscience Society, 2023/08, Without Invitation, English, JNS
  3. Intentional decoding using EEG and its predicted fMRI signals, Trung Quang Pham, Ryota Kanai, Junichi Chikazoe, The 47th Annual Meeting of the Japan Neuroscience Society (NEURO2024), 2024/07, Without Invitation, English, JNS
  4. Design of an fMRI-compatible pneumatic tactile array for spatiotemporal stimulation, Trung Quang Pham, Hiep Hoang Ly, Ishizuka Hiroki. Junichi Chikazoe, 61st Annual Conference of the Society of Instrument and Control Engineers (SICE), 2022/09/06, Without Invitation, English
  5. Decoding passive tactile shape from functional MRI signals, Trung Quang Pham, Hoang Xuan Tran, Hiep Hoang Ly, Hiroki Ishizuka, Junichi Chikazoe, EUROHAPTICS2024, 2024/06, Without Invitation, English, Eurohaptics, Lille, France