2021 Fiscal Year Annual Research Report
Study on the hierarchy of cross-modal processing using functional MRI and Deep Learning
| Project/Area Number |
19K20390
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| Research Institution | National Institute for Physiological Sciences |
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Principal Investigator |
Pham Quang・Trung 生理学研究所, システム脳科学研究領域, 特任研究員 (60837722)
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | cognitive science / somatosensory / haptics / perception |
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| Outline of Annual Research Achievements |
In this study, I seek a computational model which explains how the human brain derives visual recognition from haptic information. I hypothesize that the discrete fragments of haptics information are integrated into visual imagery at the intraparietal sulcus (IS). Such visual imagery then arrives at the lateral occipital complex (LOC) for visual recognization. I have designed a function Magnetic Response Imaging (fMRI) experiment where participants are engaged in two analogous visual and haptic digit-recognization tasks. The haptic display device was built in-house, using a series of fMRI-compatible pneumatic cylinders for stimulating the participant's palm sequentially. I also developed a linear temporal model for identifying the activated brain regions during experiments.
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