Information integration in time is a very basic procedure which filters steady signals out of noisy inputs. Animals rely on such systems to process sensory data.
In neural circuits, this kind of operation produces instances of working memory, helpful to the animal to carry out decision-making tasks in a noisy environment.
My objective is to unravel the underlying mechanisms of working memory using the larval zebrafish as data source and animal model. Thus, I aim at designing biologically-plausible computational models accounting for time integration in decision-making. This goal will be achieved through a data-driven process, which takes advantage of behavioral characterization of stimuli responses and their representation in terms of neural circuits activation, which is extracted via electrophysiological recording.
I have a passion for education and in my spare time, I enjoy hiking, coding and solving puzzles.