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Efficient approximation of neural population structure and correlations with probabilistic circuits., , , and . ICLR, OpenReview.net, (2023)Learning dynamics of deep linear networks with multiple pathways., , and . NeurIPS, (2022)Dynamic Finite Size Effects in Spiking Neural Networks., and . PLoS Comput. Biol., (2013)The Influence of Synaptic Weight Distribution on Neuronal Population Dynamics., , , , and . PLoS Comput. Biol., (2013)Predicting how and when hidden neurons skew measured synaptic interactions., , , and . PLoS Comput. Biol., (2018)Linking structure and activity in nonlinear spiking networks., , , and . PLoS Comput. Biol., (2017)Modeling functional cell types in spike train data., , , and . PLoS Comput. Biol., (October 2023)Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity., , , and . PLoS Comput. Biol., (2019)MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex., , , , and . PLoS Comput. Biol., 18 (9): 1010427 (September 2022)Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity., and . NeurIPS, page 11326-11339. (2021)