Data assimilation for neurobiology modelling
With Nicola Politi - Disma
In the last decades, large governmental investments fed the new research area of computational neuroscience, allowing to push forward our knowledge about the functioning of the nervous system. At the same time data assimilation (DA) methodologies, whose application have historically been essential in the geosciences, have recently started to be employed in new domains of application.
Specifically, the presentation will focus on the application of DA filtering and smoothing algorithms to biophysically-accurate single-neuron models, using both synthetic and experimental data. Possible applications to models of neural population’s activity will be discussed as well.
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