Azhar F, Anderson WS. (2012). Predicting single-neuron activity in locally connected networks. Neural computation. 24 [PubMed]

• Network model with neocortical architecture (Anderson et al 2007,2012; Azhar et al 2012) [Model]

Eguchi A, Neymotin SA, Stringer SM. (2014). Color opponent receptive fields self-organize in a biophysical model of visual cortex via spike-timing dependent plasticity Frontiers in neural circuits. 8 [PubMed]

• Simulated cortical color opponent receptive fields self-organize via STDP (Eguchi et al., 2014) [Model]

Gal E et al. (2017). Rich cell-type-specific network topology in neocortical microcircuitry. Nature neuroscience. 20 [PubMed]

• The neocortical microcircuit collaboration portal (Markram 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]

van Ooyen A et al. (2014). Independently outgrowing neurons and geometry-based synapse formation produce networks with realistic synaptic connectivity. PloS one. 9 [PubMed]

• NETMORPH: creates NNs with realistic neuron morphologies (Koene et al. 2009, van Ooyen et al. 2014) [Model]