Member of team :
Mail 1 :
Mail 2 :
01 34 25 52 28
Mathias Quoy received a PhD in Computer Science in 1994 from the Ecole Nationale Supérieure de l’Aéronautique et de l’Espace (Sup Aéro) after a Master degree in artificial Intelligence from the Paul Sabatier University (Toulouse). In 1995, he obtained post-doc at the Philips Air Force in Albuquerque (NM). He was recruited in 1995 as Associate Professor at the Cergy-Pontoise University and joined the ETIS Lab. He spent a sabbatical in the Brain Lab (Reno, NV) in 2009.
He was recruited full professor at the Cergy-Pontoise Technological Institute in 2014. He was Director of the ETIS Lab from 2014 to 2019.
- Neural networks
- Computational neuroscience
- Learning of sequences
- Complex dynamics in neural networks
- Graph structure and synchronization in neural networks
Mathias Quoy’s main research activity is in computational neuroscience and more particularly in dynamics, structure and learning properties (modelled via synaptic plasticity rules) of neural networks (Berry and Quoy, 2006). He has also investigated the effect of Hebbian learning rules in random neural networks [Daucé et al., 1998, Neural Networks, 11:521; Daucé et al., 2002, Biological Cybernetics, 87:185; Siri et al., 2008, Neural Computation, 12(20):2937)] and networks of excitatory and inhibitory neurons [Siri et al., 2007, Journal of Physiology-Paris, 13(101):13850], the synchronisation and learning in oscillatory neural networks. He also studied the effects of Spike-timing-dependent plasticity (STDP) [Bray-Jayet et al., 2010; Frontiers in Neural Circuits, 4:10]. More recently he developed with Alexandre Pitti a new rank-order coding algorithm using STDP in recurrent spiking networks (Pitti et al., 2017, 2020). This model is applied to motor sequences (hand-writing) and speech processing.