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Markovian analysis of the sequential behavior of the spontaneous spinal cord dorsum potentials induced by acute nociceptive stimulation in the anesthetized cat

Autor
Martin, M.; Bejar, J.; Esposito, G.; Chávez , D.; Contreras-Hernández, E.; Glusman, S.; Cortes, U.; Rudomín, P.
Tipus d'activitat
Article en revista
Revista
Frontiers in computational neuroscience
Data de publicació
2017-05-01
Volum
11
Número
Article 32
Pàgina inicial
1
Pàgina final
13
DOI
https://doi.org/10.3389/fncom.2017.00032 Obrir en finestra nova
Projecte finançador
Rehabilitación personalizada y adaptativa en tratamientos post-ictus: el i-Walker
Repositori
http://hdl.handle.net/2117/104539 Obrir en finestra nova
URL
http://journal.frontiersin.org/article/10.3389/fncom.2017.00032/full Obrir en finestra nova
Resum
In a previous study we developed a Machine Learning procedure for the automatic identification and classification of spontaneous cord dorsum potentials (CDPs). This study further supported the proposal that in the anesthetized cat, the spontaneous CDPs recorded from different lumbar spinal segments are generated by a distributed network of dorsal horn neurons with structured (non-random) patterns of functional connectivity and that these configurations can be changed to other non-random and stab...
Citació
Martín, M., Béjar, J., Espósito, G., Chávez , D., Contreras-Hernández, E., Glusman, S., Cortés, C., Rudomín, P. Markovian analysis of the sequential behavior of the spontaneous spinal cord dorsum potentials induced by acute nociceptive stimulation in the anesthetized cat. "Frontiers in computational neuroscience", 1 Maig 2017, vol. 11, article 32, p. 1-13.
Paraules clau
Cord dorsum potentials, Machine learning, Markovian analysis, Nociceptive stimulation
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
KEMLG - Grup d´Enginyeria del Coneixement i Aprenentatge Automàtic

Participants

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