We use cookies to ensure you get the best experience on our website
Startseite Erkunden Hilfe News
Registrieren Anmelden
doi
/
tactile.proprio-evoked_DCN_potentials
geforkt von PotasLab/tactile.proprio-evoked_DCN_potentials
DOI
10.12751/g-node.jjaaz4
1
0
Fork 0
Dateien

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

Struktur: 23bf650fe0
Branches Tags
tactile.prop...
Jason Potas 23bf650fe0 upload MS09 right side vor 4 Jahren
extracted_features 359cc4d659 upload extracted features for six rats vor 4 Jahren
raw_data 23bf650fe0 upload MS09 right side vor 4 Jahren
LICENSE 7ee29f0378 Initial commit vor 4 Jahren
README.md 93c4d152ba Update 'README.md' vor 4 Jahren
data_arrangement.pdf 77ee36a3bc Uploaded file to explain how data is organised vor 4 Jahren

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