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Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness., , , , , and . Frontiers Neuroinformatics, (2018)Oscillation-Driven Spike-Timing Dependent Plasticity Allows Multiple Overlapping Pattern Recognition in Inhibitory Interneuron Networks., , , and . Int. J. Neural Syst., 26 (5): 1650020:1-1650020:27 (2016)Reconstructing fMRI BOLD signals arising from cerebellar granule neurons - comparing GLM and balloon models., , , , and . IJCNN, page 1-6. IEEE, (2015)Production and diffusion model of Nitric Oxide for bioinspired spiking neural networks., , , , and . NER, page 457-460. IEEE, (2021)Exploiting point source approximation on detailed neuronal models to reconstruct single neuron electric field and population LFP., , , , and . IJCNN, page 1-7. IEEE, (2015)The Open Source Brain Initiative: enabling collaborative modelling in computational neuroscience, , , , , , , , and . BMC Neuroscience, 13 (Suppl 1): O7 (July 2012)Bioinspired Adaptive Spiking Neural Network to Control NAO Robot in a Pavlovian Conditioning Task., , , and . BioRob, page 142-147. IEEE, (2018)Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network., , , , and . Frontiers Neuroinformatics, (2019)Corrigendum: Complex Dynamics in Simplified Neuronal Models: Reproducing Golgi Cell Electroresponsiveness., , , , , and . Frontiers Neuroinformatics, (2019)Spiking cerebellar model with multiple plasticity sites reproduces eye blinking classical conditioning., , , , and . NER, page 296-299. IEEE, (2015)