"A machine learning methodology for the selection and classification of ..."

Mario Martín et al. (2015)

> Home

Details and statistics

DOI: 10.3389/FNINF.2015.00021

access: open

type: Journal Article

metadata version: 2023-03-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/fini/MartinCBECGCR15
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/fini/MartinCBECGCR15
Mario Martín, Enrique Contreras, Javier Béjar, Gennaro Esposito, Diógenes Chávez, Silvio Glusman, Ulises Cortés, Pablo Rudomín:
A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation. Frontiers Neuroinformatics 9: 21 (2015)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.