4 Publications

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[4]
2025 | Published | Journal Article | IST-REx-ID: 19640 | OA
Confavreux BJ, Agnes EJ, Zenke F, Sprekeler H, Vogels TP. Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks. PLoS Computational Biology. 2025;21(4). doi:10.1371/journal.pcbi.1012910
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[3]
2023 | Published | Thesis | IST-REx-ID: 14422 | OA
Confavreux BJ. Synapseek: Meta-learning synaptic plasticity rules. 2023. doi:10.15479/at:ista:14422
[Published Version] View | Files available | DOI
 
[2]
2022 | Published | Journal Article | IST-REx-ID: 10753 | OA
Confavreux BJ, Vogels TP. A familiar thought: Machines that replace us? Neuron. 2022;110(3):361-362. doi:10.1016/j.neuron.2022.01.014
[Published Version] View | DOI | Download Published Version (ext.) | WoS | PubMed | Europe PMC
 
[1]
2020 | Published | Conference Paper | IST-REx-ID: 9633 | OA
Confavreux BJ, Zenke F, Agnes EJ, Lillicrap T, Vogels TP. 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. ; 2020:16398-16408.
[Published Version] View | Files available | Download Published Version (ext.)
 

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4 Publications

Mark all

[4]
2025 | Published | Journal Article | IST-REx-ID: 19640 | OA
Confavreux BJ, Agnes EJ, Zenke F, Sprekeler H, Vogels TP. Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks. PLoS Computational Biology. 2025;21(4). doi:10.1371/journal.pcbi.1012910
[Published Version] View | Files available | DOI | PubMed | Europe PMC
 
[3]
2023 | Published | Thesis | IST-REx-ID: 14422 | OA
Confavreux BJ. Synapseek: Meta-learning synaptic plasticity rules. 2023. doi:10.15479/at:ista:14422
[Published Version] View | Files available | DOI
 
[2]
2022 | Published | Journal Article | IST-REx-ID: 10753 | OA
Confavreux BJ, Vogels TP. A familiar thought: Machines that replace us? Neuron. 2022;110(3):361-362. doi:10.1016/j.neuron.2022.01.014
[Published Version] View | DOI | Download Published Version (ext.) | WoS | PubMed | Europe PMC
 
[1]
2020 | Published | Conference Paper | IST-REx-ID: 9633 | OA
Confavreux BJ, Zenke F, Agnes EJ, Lillicrap T, Vogels TP. 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. ; 2020:16398-16408.
[Published Version] View | Files available | Download Published Version (ext.)
 

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