Guillaume Bellec
Assistant Prof.
Role
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Assistant Professor
Machine Learning, E194-06
Courses
2025W
- Bachelor Thesis in Computer Science / 194.112 / PR
- Deep Learning for Neuroscience / 194.202 / VU
- Introduction to Machine Learning / 194.025 / VU
- Scientific Research and Writing / 193.052 / SE
2026S
- Bachelor Thesis in Computer Science / 194.112 / PR
- Machine Learning / 192.183 / VU
- Project in Computer Science 2 / 194.146 / PR
- Reinforcement Learning / 194.163 / VU
Projects
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AI and Neuroscience
2025 – 2032 / Vienna Science and Technology Fund (WWTF)
Publications: 218647 / 218637 / 226204
Publications
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Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
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Weilenmann, C., He, H., Mladenović, M., Zellweger, T., Portner, K., Bauer, K., Bellec, G., Luisier, M., & Emboras, A. (2025). Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing. arXiv. https://doi.org/10.48550/arXiv.2509.22767
Project: AI & Neuroscience (2025–2032) -
Context selectivity with dynamic availability enables lifelong continual learning
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Barry, M., Gerstner, W., & Bellec, G. (2025). Context selectivity with dynamic availability enables lifelong continual learning. Neural Networks, 192, 107728. https://doi.org/10.1016/j.neunet.2025.107728
Project: AI & Neuroscience (2025–2032) -
Biologically informed cortical models predict optogenetic perturbations
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Sourmpis, C., Petersen, C. C., Gerstner, W., & Bellec, G. (2025). Biologically informed cortical models predict optogenetic perturbations. ELife. https://doi.org/10.7554/eLife.106827.3
Project: AI & Neuroscience (2025–2032)
Supervisions
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General Continual Learning through Implicit Contrastive Replays
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Schwartz, S. (2026). General Continual Learning through Implicit Contrastive Replays [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.137181
Download: PDF (1.44 MB) -
Efficient end-to-end brain-to-text decoding via neural pretraining
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Roth, S. (2026). Efficient end-to-end brain-to-text decoding via neural pretraining [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.141781
Download: PDF (1.29 MB) -
Spike Sorting of brain signals with deep learning
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Kravchenko, O. (2026). Spike Sorting of brain signals with deep learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.134564
Download: PDF (1.54 MB)