PhD student at the institute for theoretical computer science (IGI).
Technical University of Graz in Austria
last_name @ igi.tugraz.at
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 a machine intelligence that respects human morals.
Before starting my PhD, I graduated from a competitve 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.
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)
Autonomously learning systems (Exercies at master level)
For music and related art works visit my youtube channel.