Assisi C, Stopfer M, Bazhenov M. (2020). Optimality of sparse olfactory representations is not affected by network plasticity. PLoS computational biology. 16 [PubMed]

• Optimal sparse olfactory representations persist in a plastic network (Assisi et al 2019) [Model]

Cayco-Gajic NA, Clopath C, Silver RA. (2017). Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks. Nature communications. 8 [PubMed]

• Sparse connectivity is required for decorrelation, pattern separation (Cayco-Gajic et al 2017) [Model]

Lindsay GW, Rigotti M, Warden MR, Miller EK, Fusi S. (2017). Hebbian Learning in a Random Network Captures Selectivity Properties of the Prefrontal Cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

• Hebbian learning in a random network for PFC modeling (Lindsay, et al. 2017) [Model]

Poleg-Polsky A. (2019). Dendritic spikes expand the range of well-tolerated population noise structures. The Journal of neuroscience : the official journal of the Society for Neuroscience. 39 [PubMed]

• Distinct integration properties of noisy inputs in active dendritic subunits (Poleg-Polsky 2019) [Model]