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Can a Neural Encoding Model Replicate an fMRI Visualization Study? — arXiv:2609.15685

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.15685
License (as archived): CC0-1.0
Archived: 2026-10-16T00:00:37.956Z
SHA-256 of the archived text: 4efbcbc7520725e373b2c8edc92a5756eeb7c88714614e328bd51f5bb69d591a
Stable URL of this page: https://metraipolis.com/documento/dc_bdd21eb4e79d

How to cite

Can a Neural Encoding Model Replicate an fMRI Visualization Study? — arXiv:2609.15685 — arXiv (en), https://arxiv.org/abs/2609.15685 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bdd21eb4e79d (Metraipolis archive dc_bdd21eb4e79d, sha256 4efbcbc7520725e373b2c8edc92a5756eeb7c88714614e328bd51f5bb69d591a)

BibTeX

@misc{dcbdd21eb4e79d,
  title = {Can a Neural Encoding Model Replicate an fMRI Visualization Study? — arXiv:2609.15685},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.15685},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bdd21eb4e79d; sha256 4efbcbc7520725e373b2c8edc92a5756eeb7c88714614e328bd51f5bb69d591a},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.15685. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Most knowledge of graphical perception comes from behavioral studies. Understanding from a neural perspective is much more limited due in part to neuroimaging studies' expensiveness and difficulty to conduct. In this paper, we evaluate whether Meta's Tribe V2 neural encoding model can recover neural contrasts from a visualization fMRI study. Specifically, we evaluate Tribe V2 through a conceptual replication of the visualization-viewing component of a prior comparison of Bubble charts and three-dimensional Surface charts in color and grayscale. We generate TRIBE-predicted cortical responses for the original stimuli and compare the resulting contrasts with those reported in the human study. The model reproduced the direction of 11 of 14 reported cortical effects, with agreement concentrated in visual-processing regions. This agreement characterizes the model's alignment with the prior human-generated fMRI results rather than independently confirming them. We discuss the limitations encountered when working with this model for in-silico replication and hope to encourage future work exploring this new avenue for neuroimaging studies in visualization. Supplemental materials are available at this https URL .

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-15 in cs.HC).
Categorie arXiv: Human-Computer Interaction (cs.HC) ; Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2609.15685 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-15T23:24:31.391Z dalla pagina https://arxiv.org/catchup/cs.HC/2026-09-15?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).