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Conference object . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Decoding passive tactile shape from functional MRI signals

Authors: Pham, Trung Quang; Tran, Hoang Xuan; Ly, Hiep Hoang; Ishizuka, Hiroki; Chikazoe, Junichi;

Decoding passive tactile shape from functional MRI signals

Abstract

Decoding passive tactile shapes is a challenge in neuroscience. In this study, we extracted BOLD signals from three regions of interest, the intraparietal sulcus (IPS), the lateral occipital cortex (LOC), and the dorsolateral prefrontal cortex (dlPFC). All are known to be the shared areas between visions and haptics. Then we used a VDVAE (Very Deep Variational Auto-Encoder) to visualize the haptic information from these areas. This approach opens a new way for explaining the human tactile perception and possibly contributes to haptic-related diagnosis in future work.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average