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@@ -1,6 +1,13 @@
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# tactile.proprio-evoked_DCN_potentials
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-Machine learning of dorsal column nuclei surface potentials evoked by tactile- and proprioceptive-dominated mechanical stimuli (rat data set)
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+Machine learning of dorsal column nuclei surface potentials evoked by tactile- and proprioceptive-dominated mechanical stimuli (rat data set).
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-Explanation for how data is organised is schematically described in the pdf document: data_arrangement.pdf
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+Raw data organisation is schematically described in the pdf document: data_arrangement.pdf
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+
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+Extracted features from raw data (for machine learning) is described as follows:
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+
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+* Each row is 1 feature. There are 22 features x 7 electrodes = 154
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+* Below the rows of inputs is the 16 output targets in rows 155-170
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+* Each column is a trial
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+* labels for each row are found in the first two columns
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