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]

Castro L, Aguiar P. (2014). A feedforward model for the formation of a grid field where spatial information is provided solely from place cells. Biological cybernetics. 108 [PubMed]

• Grid cells from place cells (Castro & Aguiar, 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]

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]

Rennó-Costa C, Tort ABL. (2017). Place and Grid Cells in a Loop: Implications for Memory Function and Spatial Coding. The Journal of neuroscience : the official journal of the Society for Neuroscience. 37 [PubMed]

• Place and grid cells in a loop (Rennó-Costa & Tort 2017) [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]