PhD student at the institute for theoretical computer science (IGI).
Technical University of Graz in Austria
guillaume @ bellec . eu
I am a PhD student of in the Institute for Theoretical Computer Science in the Technical University of Graz in Austria. Under the supervision of Professor Wolfgang Maass, I investigate models of learning and working memory. I am grateful to learn every day through readings and collaborative research projects. On the long term, I hope that my research will contribute to the clinical progress and the development of machine intelligence that respects human morals.
Before starting my PhD, I graduated from a competitive master of Machine Learning at ENS Paris-Saclay and from the engineering school ENSTA Paristech. There I completed various lab rotations, one of which was initiated by my passion for music and got me to discover Psychoacoustics and Neuroscience. Ever since, I have worked on advancing our understanding of the neural mechanisms behind thoughts and perceptions.
For a complete list of publications, visit my google scholar profile.
Biologically inspired alternatives to backpropagation through time for
learning in recurrent neural nets
G Bellec*, F Scherr*, E Hajek, D Salaj, R Legenstein, W Maass
Long short-term memory and Learning-to-learn in networks of spiking neurons
G Bellec*, D Salaj*, A Subramoney*, R Legenstein, W Maass
Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype
C Liu*, G Bellec* … R Legenstein and C Mayr
Frontiers in Neuroscience | Neuromorphic Engineering 2018
Deep Rewiring: Training very sparse deep networks
G Bellec, D Kappel, W Maass, R Legenstein
Neuromorphic hardware in the loop: Training a deep spiking network on the brainscales wafer-scale system
S Schmitt, J Klähn, G Bellec … R Legenstein, W Maass, J Schemmel, K Meier
(IJCNN 2017) International Joint Conference on Neural Networks
Slow feature analysis with spiking neurons and its application to audio stimuli
G Bellec, M Galtier, R Brette, P Yger
(JCNS 2016) Journal of computational neuroscience
Creating audio based experiments as social web games with the casimir framework
D Wolff, G Bellec, A Friberg, A MacFarlane, T Weyde
(AES 2014) Audio Engineering Society Conference
A social network integrated game experiment to relate tapping to speed perception and explore rhythm reproduction
G Bellec, A Elowsson, A Friberg, D Wolff, T Weyde
(SMS 2013) Sound and Music Computing Conference
(*: equal contributions and team work)
Machine Learning (Practicals at master level)
Computational Intelligence (Lectures and practicals at bachelor level)
Autonomously learning systems (Practicals at master level)
For music and related art works visit my youtube channel.