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Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
@conference{Confavreuxetal23, title = {Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference}, booktitle = {Advances in Neural Information Processing Systems 36 (NeurIPS 2023)}, volume = {36}, pages = {13545--13558}, editors = {A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine}, publisher = {Curran Associates, Inc.}, month = dec, year = {2023}, note = {*equal contribution}, slug = {confavreuxetal23}, author = {Confavreux*, B. and Ramesh*, P. and Goncalves, P. J. and Macke, J. H. and Vogels, T. P.}, url = {https://proceedings.neurips.cc/paper_files/paper/2023/file/2bdc2267c3d7d01523e2e17ac0a754f3-Paper-Conference.pdf}, month_numeric = {12} }