Experiment 2: Raw Data from Do synaesthesia and mental imagery tap into similar cross-modal processes?.

NIAID Data Ecosystem2026-03-11 收录

数据链接：

https://figshare.com/articles/dataset/Experiment_2_Raw_Data_from_Do_synaesthesia_and_mental_imagery_tap_into_similar_cross-modal_processes_/9785342 数据链接链接失效反馈

官方服务：

资源简介：

Raw Data set from Experiment 2

创建时间：

2019-09-30

MulCogBench

跨模态认知

语言模型评估

MulCogBench是一个多模态认知基准数据集，由中国科学院自动化研究所创建，用于评估中英文计算语言模型。该数据集包含多种认知数据，如主观语义评分、眼动追踪、功能磁共振成像（fMRI）和脑磁图（MEG），来源于中文和英文母语者。数据集旨在通过分析语言模型与认知数据的相似性，探索语言模型处理语言的机制是否与人类相似，特别是在处理复杂语言结构时。此外，数据集还展示了语言模型在不同认知模态和语言单元中

arXiv2024-03-02 更新630

Data_Sheet_1_I See What You Are Saying: Hearing Infants’ Visual Attention and Social Engagement in Response to Spoken and Sign Language.CSV

婴儿语言习得

跨模态认知

Infants are endowed with a proclivity to acquire language, whether it is presented in the auditory or visual modality. Moreover, in the first months of life, listening to language supports fundamental

NIAID Data Ecosystem70

Exp1_PreRat_Brightness.sav

音乐情绪感知

跨模态认知

These dataset corresponds to the article, "Music for a brighter world: Brightness judgment bias by musical emotion" by Joydeep Bhattacharya & Job P Lindsen that is published in the journal, PLoS O

Figshare2016-01-29 更新40

基于ADE20K开源数据集的多模态开放世界认知算法的开集分割数据集

语义分割

跨模态认知

基于ADE20K开源数据集的多模态开放世界认知算法的开集分割数据集旨在构建一个全面、细致的语义分割数据集，能够涵盖更加广泛的场景和物体类别。确保数据集包含大量不同类别的物体，并且这些类别在数据集中有足够的样本量，支持对每个像素的精确分类, 数据集大小，数据集大小4.07GB。

国家基础学科公共科学数据中心150

sj-xlsx-2-pec-10.1177_03010066211070761 - Supplemental material for How do Different Types of Synesthesia Cluster Together? Implications for Causal Mechanisms

联觉研究

神经机制

Supplemental material, sj-xlsx-2-pec-10.1177_03010066211070761 for How do Different Types of Synesthesia Cluster Together? Implications for Causal Mechanisms by Jamie Ward and Julia Simner in Percepti

DataCite Commons2024-08-28 更新50

Experiment 2: Raw Data from Do synaesthesia and mental imagery tap into similar cross-modal processes?.

资源简介：

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