Basile J Confavreux
Graduate School
Vogels Group
4 Publications
2025 | Published | Journal Article | IST-REx-ID: 19640 | 
Confavreux, B. J., Agnes, E. J., Zenke, F., Sprekeler, H., & Vogels, T. P. (2025). Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1012910
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2023 | Published | Thesis | IST-REx-ID: 14422 |
Confavreux, B. J. (2023). Synapseek: Meta-learning synaptic plasticity rules. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14422
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2022 | Published | Journal Article | IST-REx-ID: 10753 |
Confavreux, B. J., & Vogels, T. P. (2022). A familiar thought: Machines that replace us? Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2022.01.014
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2020 | Published | Conference Paper | IST-REx-ID: 9633 |
Confavreux, B. J., Zenke, F., Agnes, E. J., Lillicrap, T., & Vogels, T. P. (2020). A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. In Advances in Neural Information Processing Systems (Vol. 33, pp. 16398–16408). Vancouver, Canada.
[Published Version]
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Grants
4 Publications
2025 | Published | Journal Article | IST-REx-ID: 19640 |
Confavreux, B. J., Agnes, E. J., Zenke, F., Sprekeler, H., & Vogels, T. P. (2025). Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks. PLoS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1012910
[Published Version]
View
| Files available
| DOI
| PubMed | Europe PMC
2023 | Published | Thesis | IST-REx-ID: 14422 |
Confavreux, B. J. (2023). Synapseek: Meta-learning synaptic plasticity rules. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14422
[Published Version]
View
| Files available
| DOI
2022 | Published | Journal Article | IST-REx-ID: 10753 |
Confavreux, B. J., & Vogels, T. P. (2022). A familiar thought: Machines that replace us? Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2022.01.014
[Published Version]
View
| DOI
| Download Published Version (ext.)
| WoS
| PubMed | Europe PMC
2020 | Published | Conference Paper | IST-REx-ID: 9633 |
Confavreux, B. J., Zenke, F., Agnes, E. J., Lillicrap, T., & Vogels, T. P. (2020). A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network. In Advances in Neural Information Processing Systems (Vol. 33, pp. 16398–16408). Vancouver, Canada.
[Published Version]
View
| Files available
| Download Published Version (ext.)