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Basile Confavreux
Basile Confavreux
Gatsby Computational Neuroscience Unit, UCL
Verified email at ist.ac.at
Title
Cited by
Cited by
Year
A meta-learning approach to (re) discover plasticity rules that carve a desired function into a neural network
B Confavreux, F Zenke, E Agnes, T Lillicrap, T Vogels
Advances in Neural Information Processing Systems 33, 16398-16408, 2020
382020
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
B Confavreux, P Ramesh, PJ Goncalves, JH Macke, T Vogels
Advances in Neural Information Processing Systems 36, 13545-13558, 2023
42023
Indistinguishable network dynamics can emerge from unalike plasticity rules
P Ramesh, B Confavreux, PJ Gonçalves, TP Vogels, JH Macke
bioRxiv, 2023.11. 01.565168, 2023
42023
Balancing complexity, performance and plausibility to meta learn plasticity rules in recurrent spiking networks.
B Confavreux, EJ Agnes, F Zenke, H Sprekeler, TP Vogels
bioRxiv, 2024.06. 17.599260, 2024
2024
Synapseek: Meta-learning synaptic plasticity rules
BJ Confavreux
2023
A familiar thought: Machines that replace us?
B Confavreux, TP Vogels
Neuron 110 (3), 361-362, 2022
2022
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