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Investigating features of electroencephalography (EEG) time series for object category information
- Hamid Karimi-Rouzbahani
- Mozhgan Shahmohammadi
- Ehsan Vahab
- Saeed Setayeshi
- Thomas A. Carlson
- Alexandra Woolgar
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Description: Here we share the data, code and information related to the two publications below: 1) Karimi-Rouzbahani, H., Shahmohammadi, M., Vahab, E., Setayeshi, S. and Carlson, T., 2021. Temporal variabilities provide additional category-related information in object category decoding: a systematic comparison of informative EEG features. Neural Computation. 2) Karimi-Rouzbahani, H. and Woolgar, A., 2022. When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale activation patterns. Frontiers in Neuroscience.
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Components
EEG datasets
Here you can download the two of the EEG datasets (Datsets 1 and 2) used in the two publications.
The datasets are in Matlab ".mat" format.
Pleas...
Scripts_Temporal variabilities provide additional category-related
You can download the MATLAB ".m" scripts used in "Karimi-Rouzbahani, H., Shahmohammadi, M., Vahab, E., Setayeshi, S. and Carlson, T., 2021.
Temporal...
EEG datasets
Here you can download the two of the EEG datasets (Datsets 1 and 2) used in the two publications.
The datasets are in Matlab ".mat" format.
Pleas...
Scripts_When the whole is less than the sum of its parts
You can download the MATLAB ".m" scripts used in "Karimi-Rouzbahani, H. and Woolgar, A. 2021.
When the whole is less than the sum of its parts: maxim...
Bernstein conference 2021
Here we share the PDF and the video tour of the poster presented at Berstein Conference 2021
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