From 7f616a4a345a51e0c495e76a15902885f2c23f8b Mon Sep 17 00:00:00 2001 From: Julius Date: Sun, 28 Mar 2021 17:36:46 +0200 Subject: [PATCH] =?UTF-8?q?=E2=80=9EREADME.md=E2=80=9C=20=C3=A4ndern?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 34 ++++++++++++++++++---------------- 1 file changed, 18 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index df40639..b91cd1b 100644 --- a/README.md +++ b/README.md @@ -6,22 +6,24 @@ As the three subjects, to be manually pre-processed, the subjects 001, 003 and 0 The rest of the subjects were pre-processed with provided pre-processing information. ### Structure -├── Dataset: The dataset of the project as well as the manually selected bad segments are stored here. \ -| ├── n170: Store the dataset here. \ -| └── preprocessed: Bad segments are stored here. \ -├── cached_data: Data that is generated in the analysis part is stored here. \ -| ├── decoding_data: Results of the classifiers. \ -| ├── erp_peaks: ERP peaks needed for the ERP analysis. \ -| └── tf_data: Time-frequency data needed for the tf-analysis. \ -├── test: Contains unittests and one visual check. \ -├── utils: Contains helper methods \ -| ├── ccs_eeg_semesterproject: Methods given in the lecture. \ -| ├── ccs_eeg_utils_reduced: Method for reading in BIDS. \ -| ├── file_utils.py: Methods for reading in files and getting epochs. \ -| └── plot_utils.py: Methods for manually created plots. \ -├── preprocessing_and_cleaning.py: The preprocessing pipeline. \ -├── erp_analysis.py: The ERP-Analysis and computation of ERP peaks. \ -└── decoding_tf_analysis.py: Decoding and time-frequency analysis. \ +``` +├── Dataset: The dataset of the project as well as the manually selected bad segments are stored here. +| ├── n170: Store the dataset here. +| └── preprocessed: Bad segments are stored here. +├── cached_data: Data that is generated in the analysis part is stored here. +| ├── decoding_data: Results of the classifiers. +| ├── erp_peaks: ERP peaks needed for the ERP analysis. +| └── tf_data: Time-frequency data needed for the tf-analysis. +├── test: Contains unittests and one visual check. +├── utils: Contains helper methods +| ├── ccs_eeg_semesterproject: Methods given in the lecture. +| ├── ccs_eeg_utils_reduced: Method for reading in BIDS. +| ├── file_utils.py: Methods for reading in files and getting epochs. +| └── plot_utils.py: Methods for manually created plots. +├── preprocessing_and_cleaning.py: The preprocessing pipeline. +├── erp_analysis.py: The ERP-Analysis and computation of ERP peaks. +└── decoding_tf_analysis.py: Decoding and time-frequency analysis. +``` ### Running the project To run the project python 3.7 is required and anaconda recommended.