Politi, AntonioTorcini, Alessandro2024-04-222024-04-222024-04-19Politi, A & Torcini, A 2024, 'A robust balancing mechanism for spiking neural networks', Chaos, vol. 34, no. 4. https://doi.org/10.48550/arXiv.2401.12559, https://doi.org/10.1063/5.01992981054-1500https://hdl.handle.net/2164/23315ACKNOWLEDGMENTS We thank German Mato for useful discussions in the initial stage of this project, during our stay at Max Planck Institute for the Physics of Complex Systems (Dresden, Germany) within the Advanced Study Group “From Microscopic to Collective Dynamics in Neural Circuits” (2016/17). A.T. also acknowledges useful interactions with Gianluigi Mongillo and Nina La Miciotta. A.T. received financial support by the ANR Project ERMUNDY (Grant No. ANR-18-CE37-0014), by the Labex MME-DII (No. ANR-11-LBX-0023-01) and by CY Generations (Grant No. ANR-21-EXES-0008), all part of the French program “Investissements d’Avenir.” A.P. received support by CY Advanced Studies (Cergy-Pontoise, France) for a visiting scholarship in 2018.81547702engAction Potentials/physiologyModels, NeurologicalNeural Networks, ComputerNeurons/physiologySynapses/physiologyNeuronal Plasticity/physiologyQC PhysicsSupplementary InformationQCJournal article10.48550/arXiv.2401.12559344