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Engineer
Department of Electrical Engineering, Faculty of Engineering, Universidad de Concepción, Chile
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Schedule
Wednesday, August 19, 2020
10:15 AM America/Montevideo
Recording provided by the organiser.
Domain
NeuroscienceHost
IIBCE on Brain Science
Duration
70 minutes
Tractography datasets, calculated from dMRI, represent the main WM structural connections in the brain. Thanks to advances in image acquisition and processing, the complexity and size of these datasets have constantly increased, also containing a large amount of artifacts. We present some examples of algorithms, most of them based on classical machine learning approaches, to analyze these data and identify common connectivity patterns among subjects.
Pamela Guevara
Engineer
Department of Electrical Engineering, Faculty of Engineering, Universidad de Concepción, Chile
neuro
neuro
Brain organization and function is a complex topic. We are good at establishing correlates of perception and behavior across forebrain circuits, as well as manipulating activity in these circuits to a
neuro
Understanding how brains learn requires bridging evidence across scales—from behaviour and neural circuits to cells, synapses, and molecules. In our work, we use computational modelling and data analy