BOLD5000

一个大规模、慢速事件相关的 fMRI 数据集，收集了 4 个受试者，每个受试者在 15 个扫描过程中观察 5,254 个图像。该数据集包含从 SUN、COCO 和 ImageNet 数据集提取的近 5,000 张不同图像，用于慢速事件相关的 fMRI 研究。四名参与者每人进行约 20 小时的 MRI 扫描。

A large-scale slow event-related fMRI dataset was collected from 4 participants. Each subject underwent 15 scanning sessions, during which they viewed 5,254 images. The dataset contains nearly 5,000 distinct images extracted from the SUN, COCO, and ImageNet datasets, and is designed for slow event-related fMRI research. Each of the four participants completed approximately 20 hours of MRI scanning.

搜集汇总

背景与挑战

背景概述

BOLD5000是一个大规模fMRI数据集，包含4名受试者观察5,254张图像的数据，图像来自SUN、COCO和ImageNet数据集，用于慢速事件相关的脑功能成像研究。