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
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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



