Cue Combination Methods Experiment Data

NIAID Data Ecosystem2026-03-12 收录

多感官整合

认知实验数据

数据链接：

https://doi.org/10.7910/DVN/WI65ZU 数据链接链接失效反馈

官方服务：

资源简介：

Data for each participant are provided. Also provided are excel spreadsheets containing data computed from raw data files.

创建时间：

2020-11-01

Multisensory learning dataset

多感官整合

神经计算

# Separable Neurocomputational Mechanisms Underlying Multisensory Learning **Dataset for:** *Separable neurocomputational mechanisms underlying multisensory learning* **Authors:** Saurabh Bedi, Ella

OpenNeuro2026-02-17 更新120

Table_3_Feedback Modulates Audio-Visual Spatial Recalibration.pdf

听觉-视觉空间重新校准

多感官整合

In an ever-changing environment, crossmodal recalibration is crucial to maintain precise and coherent spatial estimates across different sensory modalities. Accordingly, it has been found that perceiv

NIAID Data Ecosystem30

Changes in PSS and JND in audiovisual integration in previous studies.

多感官整合

视听感知同步

Temporal ventriloquism: “baseline” means that each auditory stimulus was presented at the same time as a flash (i.e., each pair of audiovisual stimuli were presented simultaneously), and “AVVA” indica

Figshare2015-12-02 更新10

Interindividual differences influence multisensory processing during spatial navigation

空间导航

多感官整合

The dataset contains the raw data from two experiments. We investigate the ability of spatial navigation using auditory, visual or audiovisual landmarks in the environment.

NIAID Data Ecosystem60

Mean (SDs) log-transformed RTs and accuracy rates of each block for point 110, followed by mean (SDs) log-transformed RTs and accuracy rates in Fib and Skip.

行为反应

认知实验数据

Mean (SDs) log-transformed RTs and accuracy rates of each block for point 110, followed by mean (SDs) log-transformed RTs and accuracy rates in Fib and Skip.

NIAID Data Ecosystem20

Cue Combination Methods Experiment Data

资源简介：

相关数据集