five

MultiChannel Pattern Analysis: Correlation-Based Decoding with fNIRS

收藏
DataCite Commons2024-10-16 更新2025-04-09 收录
下载链接:
https://datacommons.princeton.edu/discovery/doi/10.34770/sy4w-fm96
下载链接
链接失效反馈
官方服务:
资源简介:
Implement multichannel pattern analysis (MCPA) with NIRS a la Emberson, Zinszer, Raizada and Aslin If you want to be alerted of updates to the code, please email Benjamin Zinszer bzinszer@gmail.com. You will only receive emails if there are significant changes made to the code. Alternatively, come back and visit this github repository because changes will be pushed to this location. Two datasets were used in the paper. Dataset #1 has been published in Emberson, Richards & Aslin (2015, control group) and is available in full as part of this repository. Dataset #2 has yet to be published and thus the original dataset is not yet available in this repository. The output of this code (i.e., decoding accuracy) is available for both datasets, along with the code used for implementing the mixed effects models reported in Emberson, Zinszer, Raizada and Aslin is available in a complementary repository https://github.com/laurenemberson/EmbersonZinszerMCPA_analysesFromPaper. If you have questions, please email either Lauren Emberson lauren.emberson@gmail.com or Benjamin Zinszer bzinszer@gmail.com.
提供机构:
Princeton University
创建时间:
2024-07-31
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作