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Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony?, , , , and . Front. Comput. Neurosci., (2012)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)Spike-latency codes and the effect of saccades., , , and . Neurocomputing, (2005)Quality and sustainability of software tools in neuroscience, and . CoRR, (2012)Current Practice in Software Development for Computational Neuroscience and How to Improve It., and . PLoS Computational Biology, (2014)Propagation of cortical synfire activity: survival probability in single trials and stability in the mean., , and . Neural Networks, 14 (6-7): 657-673 (2001)Towards Simulating Data-Driven Brain Models at the Point Neuron Level on Petascale Computers., , , and . JHPCS, volume 10164 of Lecture Notes in Computer Science, page 160-169. Springer, (2016)A visual tracking model implemented on the iCub robot as a use case for a novel neurorobotic toolkit integrating brain and physics simulation., , , , , , , , , and 10 other author(s). Humanoids, page 1179-1184. IEEE, (2015)Cortical synfire-activity: Configuration space and survival probability., , and . Neurocomputing, (2001)