Raphaël Bergoin
Neuroscience and Artificial Intelligence
Welcome
PhD
Neurocybernetics team, ETIS lab, CY Cergy Paris University, Cergy
Computational Neuroscience Group, Center for Brain and Cognition, Pompeu Fabra University, Barcelona
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.
Research areas
Artificial neural networks
Coupled oscillators
Computational neuroscience
Structure in neural networks
Learning in neural networks
Memory
Multimodal learning and processing
Inhibition
Synchronization
Last news
May 16-17, 2024 - Neuroengineering for exploring and repairing the brain, Saclay, France
Attendance to the 2024 Paris-Saclay Institute of Neuroscience (NeuroPSI) - Chen institute joint conference on brain, behavior & beyond.
March 21, 2024 - PhD students' day, Cergy-Pontoise, France
Attendance to the PhD students' day of the ETIS Lab. Short presentations and poster sessions.
March 14-15, 2024 - Invitation, Hamburg, Germany
Invitation at the Institute of Neural Information Processing in the Center for Molecular Neurobiology Hamburg (ZMNH) by Prof. Stefano Panzeri.
December 11, 2023 - PhD Defense, Cergy-Pontoise, France
Defense of my PhD thesis, prepared at CY Cergy Paris University and Pompeu Fabra University, entitled "The role of inhibitory plasticity in the formation and the long-term maintenance of neural assemblies and memories".
December 6, 2023 - NeuroDevRob23 : Developmental AI, Cognitive Robotics, Cognitive Sciences and Neurosciences, Cergy-Pontoise, France
Attendance to the workshop NeuroDevRob23 : Developmental AI, Cognitive Robotics, Cognitive Sciences and Neurosciences. This year's theme is: language, development and cognition.
November 29, 2023 - Research seminar, Online
Research seminar at the Computational Neuroscience Affinity Group in the UCLA Brain Research Institute (BRI), entitled "The role of inhibitory plasticity in the formation and the long-term maintenance of neural assemblies and memories".
Sustainable memory learning
Spontaneous recall of the learned items in the network dynamics at rest promotes the consolidation of associated structural clusters, and thus the long-term maintenance of memories.
Memory storage
The number of inhibitory neurons present in the network is correlated with the number of structural clusters that can be formed and stabilized over time, and therefore with the memory storage capacity of the network.
Memory processing
This spiking neural network is capable of recognizing and generating previously learned audio-visual digits in a multimodal scenario.
CY Cergy Paris University
ENSEA
ETIS laboratory
Pompeu Fabra University
Center for Brain and Cognition
Human Brain Project