Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Bayesian network modeling of the consensus between experts: An application to neuron classification
Año:2013
Áreas de investigación
  • Inteligencia artificial,
  • Neurofisiología,
  • Biología
Datos
Descripción
Neuronal morphology is hugely variable across brain regions and species, and their classification strategies are a matter of intense debate in neuroscience. GABAergic cortical interneurons have been a challenge because it is difficult to find a set of morphological properties which clearly define neuronal types. A group of 48 neuroscience experts around the world were asked to classify a set of 320 cortical GABAergic interneurons according to the main features of their three-dimensional morphological reconstructions. A methodology for building a model which captures the opinions of all the experts was proposed. First, one Bayesian network was learned for each expert, and we proposed an algorithm for clustering Bayesian networks corresponding to experts with similar behaviors. Then, a Bayesian network which represents the opinions of each group of experts was induced. Finally, a consensus Bayesian multinet which models the opinions of the whole group of experts was built. A thorough analysis of the consensus model identified different behaviors between the experts when classifying the interneurons in the experiment. A set of characterizing morphological traits for the neuronal types was defined by performing inference in the Bayesian multinet. These findings were used to validate the model and to gain some insights into neuron morphology.
Internacional
Si
JCR del ISI
Si
Título de la revista
International Journal of Approximate Reasoning
ISSN
0888-613X
Factor de impacto JCR
1,948
Información de impacto
Datos JCR del año 2011
Volumen
DOI
http://dx.doi.org/10.1016/j.ijar.2013.03.011
Número de revista
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Participantes
  • Autor: Pedro Luis Lopez Cruz (UPM)
  • Autor: Pedro Maria Larrañaga Mugica (UPM)
  • Autor: Javier De Felipe Oroquieta (UPM)
  • Autor: Maria Concepcion Bielza Lozoya (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Inteligencia Artificial
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