Neural decoding of Aristotle tactile illusion using deep learning-based fMRI classification
Our findings demonstrate that perception-driven neural responses are classifiable using fMRI-based CNN models. Saliency analysis of the trained CNNs reveals the involvement of the somatosensory cortex and parietal regions in making classification decisions, consistent with previous research. Other salient ROIs include orbitofrontal cortex, middle temporal pole, supplementary motor area, and middle cingulate cortex.
Authors
- Sung-Phil Kim (ORCID: https://orcid.org/0000-0001-6665-3475)
- Taehoon Shin (ORCID: https://orcid.org/0000-0003-1780-573X)
- Jaeseok Park (ORCID: https://orcid.org/0000-0002-8390-8166)
- Eunji Lee (ORCID: https://orcid.org/0000-0001-5916-2301)
- Ji-Hyun Kim (ORCID: https://orcid.org/0000-0003-2942-3755)
Institutions
- Ewha Womans University (KR)
- Brown University (US)
- Ulsan National Institute of Science and Technology (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fnins.2025.1606801
- Primary Topic
- Tactile and Sensory Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion