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Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores., , , , , , , , , and . CoRR, (2015)Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations., , , and . CoRR, (2018)Power-Efficient Computing: Experiences from the COSA Project., , , , , , , , , and 8 other author(s). Scientific Programming, (2017)Next generation of Exascale-class systems: ExaNeSt project and the status of its interconnect and storage development., , , , , , , , , and 9 other author(s). Microprocessors and Microsystems - Embedded Hardware Design, (2018)Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections., , , , , , and . CoRR, (2019)Impact of exponential long range and Gaussian short range lateral connectivity on the distributed simulation of neural networks including up to 30 billion synapses., , , , , , , , , and . CoRR, (2015)The Brain on Low Power Architectures - Efficient Simulation of Cortical Slow Waves and Asynchronous States., , , , , , , , , and 3 other author(s). PARCO, volume 32 of Advances in Parallel Computing, page 760-769. IOS Press, (2017)Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep., , , , , , , and . PLoS Comput. Biol., (2021)Real-Time Cortical Simulations: Energy and Interconnect Scaling on Distributed Systems., , , , , , , , , and 4 other author(s). PDP, page 283-290. IEEE, (2019)Distributed simulation of polychronous and plastic spiking neural networks: strong and weak scaling of a representative mini-application benchmark executed on a small-scale commodity cluster., , , , , , , , , and . CoRR, (2013)