Esposito U, Giugliano M, van Rossum M, Vasilaki E. (2014). Measuring symmetry, asymmetry and randomness in neural network connectivity. PloS one. 9 [PubMed]

• Statistics of symmetry measure for networks of neurons (Esposito et al. 2014) [Model]

Grienberger C, Milstein AD, Bittner KC, Romani S, Magee JC. (2017). Inhibitory suppression of heterogeneously tuned excitation enhances spatial coding in CA1 place cells. Nature neuroscience. 20 [PubMed]

• CA1 pyr cell: Inhibitory modulation of spatial selectivity+phase precession (Grienberger et al 2017) [Model]

Kim J, Leahy W, Shlizerman E. (2019). Neural Interactome: Interactive Simulation of a Neuronal System. Frontiers in computational neuroscience. 13 [PubMed]

• Neural Interactome: interactive simulation of a neuronal system (Kim et al 2019) [Model]

Sadeh S, Clopath C. (2020). Theory of neuronal perturbome in cortical networks Proceedings of the National Academy of Sciences of the United States of America. 117 [PubMed]

• A computational model of single-neuron perturbations (Sadeh and Clopath 2020) [Model]

Sadeh S, Clopath C, Rotter S. (2015). Emergence of Functional Specificity in Balanced Networks with Synaptic Plasticity. PLoS computational biology. 11 [PubMed]

• Functional balanced networks with synaptic plasticity (Sadeh et al, 2015) [Model]

Shai AS, Anastassiou CA, Larkum ME, Koch C. (2015). Physiology of layer 5 pyramidal neurons in mouse primary visual cortex: coincidence detection through bursting. PLoS computational biology. 11 [PubMed]

• Layer 5 Pyramidal Neuron (Shai et al., 2015) [Model]

Tomm C, Avermann M, Petersen C, Gerstner W, Vogels TP. (2014). Connection-type-specific biases make uniform random network models consistent with cortical recordings. Journal of neurophysiology. 112 [PubMed]