Active Visual Semantics

The Active Visual Semantics (AVS) Dataset is a multimodal neuroimaging dataset combining magnetoencephalography (MEG), eye-tracking, and structural MRI, recorded from 5 participants (sub-01-sub-05) as they actively explored 4,080 natural scenes (subsampled from the Natural Scenes Dataset, NSD) across 10 recording sessions each, yielding more than 200,000 fixation epochs in total. Unlike neuroimaging datasets that rely on passive viewing with enforced central fixation, AVS captures brain activity during active, self-directed scene exploration, including natural saccades and fixations. A semanti...主动视觉语义（Active Visual Semantics, AVS）数据集是一款多模态神经成像数据集，整合了脑磁图（magnetoencephalography, MEG）、眼动追踪与结构磁共振成像（structural MRI）。该数据集共招募5名参与者（编号sub-01至sub-05），令其主动探索从自然场景数据集（Natural Scenes Dataset, NSD）中采样得到的4080张自然场景图片；每名参与者完成10次扫描会话，最终总计获得超过20万个注视时段（fixation epochs）。与依赖强制中央注视的被动观看式神经成像数据集不同，AVS数据集可捕捉参与者在主动、自主导向的场景探索过程中的脑活动，涵盖自然眼跳与注视行为。