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NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking., , , , , , , , , and 61 other author(s). CoRR, (2023)The Yin-Yang dataset., , and . CoRR, (2021)Learning efficient backprojections across cortical hierarchies in real time., , , , , and . CoRR, (2022)Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons., , , , , and . CoRR, (2021)Precision estimation and second-order prediction errors in cortical circuits., , , and . CoRR, (2023)Stochasticity from function - Why the Bayesian brain may need no noise., , , , , , , , and . Neural Networks, (2019)Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate., , , , , , , , , and 15 other author(s). ISCAS, page 1-5. IEEE, (2020)Stochasticity from function - why the Bayesian brain may need no noise., , , , , , , , and . CoRR, (2018)Generative models on accelerated neuromorphic hardware., , , , , , , , , and 14 other author(s). CoRR, (2018)Fast and deep neuromorphic learning with time-to-first-spike coding., , , , , , , , , and 1 other author(s). CoRR, (2019)