Bush D, Burgess N. (2014). A hybrid oscillatory interference/continuous attractor network model of grid cell firing. The Journal of neuroscience : the official journal of the Society for Neuroscience. 34 [PubMed]

• Hybrid oscillatory interference / continuous attractor NN of grid cell firing (Bush & Burgess 2014) [Model]

D'Albis T, Kempter R. (2017). A single-cell spiking model for the origin of grid-cell patterns. PLoS computational biology. 13 [PubMed]

• A single-cell spiking model for the origin of grid-cell patterns (D'Albis & Kempter 2017) [Model]

Geerts JP, Chersi F, Stachenfeld KL, Burgess N. (2020). A general model of hippocampal and dorsal striatal learning and decision making. Proceedings of the National Academy of Sciences of the United States of America. 117 [PubMed]

• A general model of hippocampal and dorsal striatal learning and decision making (Geerts et al 2020) [Model]

Pilly PK, Grossberg S. (2013). Spiking neurons in a hierarchical self-organizing map model can learn to develop spatial and temporal properties of entorhinal grid cells and hippocampal place cells PloS one. 8 [PubMed]

• Spiking GridPlaceMap model (Pilly & Grossberg, PLoS One, 2013) [Model]

Soman K, Chakravarthy S, Yartsev MM. (2018). A hierarchical anti-Hebbian network model for the formation of spatial cells in three-dimensional space. Nature communications. 9 [PubMed]

• Hierarchical anti-Hebbian network model for the formation of spatial cells in 3D (Soman et al 2019) [Model]

Welday AC, Shlifer IG, Bloom ML, Zhang K, Blair HT. (2011). Cosine directional tuning of theta cell burst frequencies: evidence for spatial coding by oscillatory interference. The Journal of neuroscience : the official journal of the Society for Neuroscience. 31 [PubMed]

• Synthesis of spatial tuning functions from theta cell spike trains (Welday et al., 2011) [Model]