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Statistical properties of superimposed stationary spike trains., , , and . Journal of Computational Neuroscience, 32 (3): 443-463 (2012)Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units., , , and . PLoS Computational Biology, (2010)Winnerless competition in clustered balanced networks: inhibitory assemblies do the trick., , and . Biological Cybernetics, 112 (1-2): 81-98 (2018)Cortical Dynamics in Presence of Assemblies of Densely Connected Weight-Hub Neurons., , , and . Front. Comput. Neurosci., (2017)The relevance of network micro-structure for neural dynamics., , , and . Front. Comput. Neurosci., (2013)Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity., , and . Journal of Computational Neuroscience, 39 (1): 77-103 (2015)Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex., , , and . PLoS Computational Biology, (2012)Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size., , and . PLoS Computational Biology, (2017)On the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs., , and . PLoS Computational Biology, (2017)Equilibrium and response properties of the integrate-and-fire neuron in discrete time., , , and . Front. Comput. Neurosci., (2010)