发表机构
Youngstown State University（扬斯敦州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究评估Meta的Tribe V2神经编码模型能否复现fMRI可视化研究中的皮层对比，结果显示模型再现了14项效应中的11项方向，主要集中于视觉处理区域，并讨论了其局限性。
AI 中文摘要
图形感知的大部分知识来自行为研究。由于神经影像研究成本高昂且难以实施，从神经角度进行的理解则更为有限。在本文中，我们评估了Meta的Tribe V2神经编码模型能否从一项可视化fMRI研究中恢复神经对比。具体而言，我们通过对先前一项关于气泡图与三维曲面图在彩色和灰度条件下比较研究的可视化观看部分进行概念性复现，来评估Tribe V2。我们为原始刺激生成TRIBE预测的皮层反应，并将所得对比与人类研究报告的结果进行比较。该模型再现了14项报告皮层效应中的11项方向，一致性集中在视觉处理区域。这种一致性表征了该模型与先前人类生成的fMRI结果的对齐，而非独立确认这些结果。我们讨论了使用该模型进行计算机模拟复现时遇到的局限性，并希望鼓励未来工作探索这一可视化神经影像研究的新途径。补充材料可在该https URL获取。
英文摘要
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 https://osf.io/8a96x/.
Comments5 pages, 1 figure, accepted to the VISxVISION Workshop at IEEE VIS '26
