Machine learning of dorsal column nuclei surface potentials evoked by tactile- and proprioceptive-dominated mechanical stimuli (rat data set)

Jason Potas 23bf650fe0 upload MS09 right side 4 سال پیش
extracted_features 359cc4d659 upload extracted features for six rats 4 سال پیش
raw_data 23bf650fe0 upload MS09 right side 4 سال پیش
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README.md 93c4d152ba Update 'README.md' 4 سال پیش
data_arrangement.pdf 77ee36a3bc Uploaded file to explain how data is organised 4 سال پیش

README.md

tactile.proprio-evoked_DCN_potentials

Machine learning of dorsal column nuclei surface potentials evoked by tactile- and proprioceptive-dominated mechanical stimuli (rat data set).

Raw data organisation is schematically described in the pdf document: data_arrangement.pdf

Extracted features from raw data (for machine learning) is described as follows:

  • Each row is 1 feature. There are 22 features x 7 electrodes = 154
  • Below the rows of inputs is the 16 output targets in rows 155-170
  • Each column is a trial
  • labels for each row are found in the first two columns