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@@ -24,6 +24,10 @@ The notebook `tutorials/Exercise_PCA_to_FA.ipynb` contains a mathematically more
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To get started, create a Python environment using the `environment.yml` file provided.
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+In addition, Byron Yu's graphical Matlab-based tool DataHigh and tutorials are available at https://users.ece.cmu.edu/~byronyu/software/DataHigh/datahigh.html and https://github.com/BenjoCowley/DataHigh
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## Martin Nawrot: Higher-order Correlations
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The notebook `tutorials/trial_by_trial_variability.ipynb` contains an exercise centered around time-resolved Fano Factors. The first lines of the exercises contain code that help you
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@@ -36,4 +40,4 @@ To get started, create a Python environment using the `environment.yml` file pro
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The folder `tutorials` contains a series of 4 exercise notebooks. Exercise 0 should be considered more of a warm-up exercise, and exercises 1-3 cover cross-correlations, Unitary Event Analysis
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and higher-order correlations,respectively. The notebooks contain working exercise codes and additional tasks that build on the provided code.
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-To get started, create a Python environment using the `environment.yml` file provided.
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+To get started, create a Python environment using the `environment.yml` file provided.
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