Graduated from a Master’s degree in artificial intelligence and robotics at CY Cergy Paris University, I am currently doing my 3rd year of PhD in sciences and technologies of information and communication on the theme of artificial intelligence based on neurosciences at the Pompeu Fabra University – Barcelona and the CY Cergy Paris University as part of the EUTOPIA PhD Co-tutelle Program 2020. This PhD is also part of the Human Brain Project (HBP) where my work is part of the work package 1: the human multiscale brain connectome and its variability – from synapses to large-scale networks and function. The topic of my PhD is about STDP learning in large spiking neural networks. More precisely, I’m currently working on the links between memory in neural assemblies and inhibition using spiking neural networks with adaptation.
Research activities/ongoing projects:
I study how long-term memory is learned, maintained, consolidated and processed in artificial neural networks. More specifically, I focus on the role of inhibitory plasticity in these processes. I explore these problems in different models such as phase oscillators and spiking neural networks. The aim of my research is both to gain a better understanding of the biological mechanisms that govern the brain and to integrate certain neural principles into artificial intelligence models. My two main current research areas are on: Sustainable memory learning and Memory storage and processing.
PhD title: The role of inhibitory plasticity in the formation and the long-term maintenance of neural assemblies and memories
Thesis directors: Mathias Quoy and Gustavo Deco
Thesis supervisors: Alessandro Torcini and Gorka Zamora-López
– Artificial neural networks
– Coupled oscillators
– Computational neuroscience
– Structure in neural networks
– Learning in neural networks
– Multimodal learning and processing
– EUTOPIA funding [EUTOPIA- PhD-2020-0000000066 – NEUROAI]