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Propagation of Synfire Activity in Cortical Networks: a Statistical Approach., , and . SNN Symposium on Neural Networks, page 37-40. Springer, (1995)A Framework for Coupled Simulations of Robots and Spiking Neuronal Networks., , , , , , , , , and 4 other author(s). J. Intell. Robotic Syst., 85 (1): 71-91 (2017)Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform., , , , , , , , , and 22 other author(s). Frontiers Neurorobotics, (2017)Learning Continuous Muscle Control for a Multi-joint Arm by Extending Proximal Policy Optimization with a Liquid State Machine., , , , , and . ICANN (1), volume 11139 of Lecture Notes in Computer Science, page 211-221. Springer, (2018)Spike-latency codes and the effect of saccades., , , and . Neurocomputing, (2005)Quality and sustainability of software tools in neuroscience, and . CoRR, (2012)Propagation of cortical synfire activity: survival probability in single trials and stability in the mean., , and . Neural Networks, 14 (6-7): 657-673 (2001)Current Practice in Software Development for Computational Neuroscience and How to Improve It., and . PLoS Comput. Biol., (2014)Feed-forward and noise-tolerant detection of feature homogeneity in spiking networks with a latency code., , , , and . Biol. Cybern., 115 (2): 161-176 (2021)A method to estimate the cellular composition of the mouse brain from heterogeneous datasets., , , , , , , and . PLoS Comput. Biol., 18 (12): 1010739 (December 2022)