Find models by
Find models for
Find models of
Electrical synapses (gap junctions)
ModelDB related resources
Computational neuroscience ecosystem
Models in mercurial repository
Models of Vector Navigation with Grid Cells (Bush et al., 2015)
Download zip file
Help downloading and running models
Four models of vector navigation in large scale 2D space using grid cell representations of location are included: (1) The 'Distance Cell' model, which directly decodes absolute start and goal locations in allocentric space from rate-coded grid cell representations before computing the displacement between them; (2) The 'Rate-coded Vector Cell' model, which directly decodes the displacement between start and goal locations from rate-coded grid cell representations; (3) The 'Phase-coded Vector Cell' model, which directly decodes the displacement between start and goal locations from the temporally-coded grid cell representations provided by phase precession; (4) The 'Linear Look-ahead' model, which uses a directed search through grid cell representations, initiated at the start location and then moving along a specific axis at a constant speed, to compute the displacement between start and goal locations.
Bush D, Barry C, Manson D, Burgess N (2015) Using Grid Cells for Navigation
(Click on a link to find other models with that property)
Bush, Daniel [drdanielbush @ gmail.com];
Please see the Readme.pdf for detailed instructions on how to run the model.
Loading data, please wait...
Questions, comments, problems? Email the
How to cite ModelDB
© This site is Copyright 2017 Shepherd Lab, Yale University