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Can a Neural Encoding Model Replicate an fMRI Visualization Study?

Paper recorded by Signals 4 on 2026-09-14 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CV · 计算机视觉 · first seen 2026-09-15

Abstract

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

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#54 most recent of 237 cs.CV papers we have recorded · ↑ newer: Predicting build orientation for SLM dental parts: a comparison of rot · ↓ older: V-ICAL Bench: Evaluating Video In-Context Learning for Multimodal Agen
Cite this page: Can a Neural Encoding Model Replicate an fMRI Visualization Study?: the #54 most recent of 237 cs.CV papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/can-a-neural-encoding-model-replicate-an-fmri-visualization-study.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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