Ponente: Gadea Mata Martínez (Universidad de La Rioja)
Lugar: Salón de Actos (Edificio CCT)
Hora: martes 5 de septiembre, 12:00
Resumen: The study of neuronal cell morphology and function in neurodegenerative disease processes is essential in order to develop suitable treatments. In fact, studies such as the quantification of either synapses or the neuronal density are instrumental in measuring the evolution and the behaviour of neurons under the effects of certain physiological conditions.
In order to analyse this data, fully automatic methods are required. To this end, we have studied and developed methods inspired by Computational Algebraic Topology and Machine Learning techniques. Notions such as the definition of connected components, or others related to the persistent homology and zigzag persistence theory have been used to compute the synaptic density or to recognise the neuronal structure. In addition, machine learning methods have been used to determine where neurons are located in large images and to ascertain which are the best features to describe this kind of cells.
Nota: la charla se trata de una prueba de tiempo para la presentación de la Tesis, que tendrá lugar el viernes 15 de septiembre a las 12:00 en el mismo Salón de Actos del CCT.
