Adams W, Graham JN, Han X, Riecke H. (2019). Top-down inputs drive neuronal network rewiring and context-enhanced sensory processing in olfaction. PLoS computational biology. 15 [PubMed]

• Neurogenesis in the olfactory bulb controlled by top-down input (Adams et al 2018) [Model]

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]

Carey RM, Sherwood WE, Shipley MT, Borisyuk A, Wachowiak M. (2015). Role of intraglomerular circuits in shaping temporally structured responses to naturalistic inhalation-driven sensory input to the olfactory bulb. Journal of neurophysiology. 113 [PubMed]

• Olfactory bulb juxtaglomerular models (Carey et al., 2015) [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]

Chow SF, Wick SD, Riecke H. (2012). Neurogenesis drives stimulus decorrelation in a model of the olfactory bulb. PLoS computational biology. 8 [PubMed]

• Olfactory bulb network: neurogenetic restructuring and odor decorrelation (Chow et al. 2012) [Model]

Gilra A, Bhalla US. (2015). Bulbar microcircuit model predicts connectivity and roles of interneurons in odor coding. PloS one. 10 [PubMed]

• Olfactory bulb microcircuits model with dual-layer inhibition (Gilra & Bhalla 2015) [Model]

Rajagopalan A, Assisi C. (2020). Effect of circuit structure on odor representation in the insect olfactory system. eNeuro. 7 [PubMed]

• Effect of circuit structure on odor representation in insect olfaction (Rajagopalan & Assisi 2020) [Model]