Hello world ! First post !
I am interested in the biological and computational mechanisms underlying learning and memory and how these mechanisms enable the emergence of metarepresentation and more particularly metalearning.
I obtained my Phd in Neuroscience in France from Lyon 1 University in December 2017. My project was supervised by Nathalie Mandairon and Anne Didier from the neuropop team of the Lyon Neuroscience Research Center . My thesis work was focused on understanding the learning and memory mechanisms involved in olfactory perceptual learning in the olfactory bulb in mice. My focus was to understand how the olfactory bulb circuitry -involving both preexisting and adult-born neurons- is modified after complex environmental modifications (involving the discrimination learning of several pairs of perceptualy close odorants at the same time) or changing environmental modifications (involving the discrimination learning of different pairs of odorants over time). I studied this using mice behavioral analysis, immunochemistry staining, neuron morphologogy analysis, optogenetics and modeling (integrate and fire neurons).
I am now a postdoctoral associate at New York University, in the lab of Alexander Reyes . The project I'm working on is a collaboration between Alex's lab and the lab of Stefano Fusi at Columbia University where I am a visiting scholar. It's a project still centered around learning and memory mechanisms, however it involves both an in-vitro and a modeling approach working synergically. The in vitro approach uses cortical neuron cultures and whole-optic electrophysiology to probe memory storage abilities based on the modeling approach that elaborated a memory storage model of long-term memory. Working back and forth between those two approches we hope to validate the computational model by contributing essential missing variable from in-vitro networks and at the same time improve the model's abilities to represent mechanisms of biological learning and memory storage.