@article {46286,
	title = {Continuous attractor network model for conjunctive position-by-velocity tuning of grid cells.},
	journal = {PLoS Computational Biology},
	volume = {10},
	year = {2014},
	month = {2014 Apr 17},
	pages = {e1003558},
	abstract = {<p>The spatial responses of many of the cells recorded in layer II of rodent medial entorhinal cortex (MEC) show a triangular grid pattern, which appears to provide an accurate population code for animal spatial position. In layer III, V and VI of the rat MEC, grid cells are also selective to head-direction and are modulated by the speed of the animal. Several putative mechanisms of grid-like maps were proposed, including attractor network dynamics, interactions with theta oscillations or single-unit mechanisms such as firing rate adaptation. In this paper, we present a new attractor network model that accounts for the conjunctive position-by-velocity selectivity of grid cells. Our network model is able to perform robust path integration even when the recurrent connections are subject to random perturbations.</p>
},
	keywords = {Animals, Models, Theoretical, Movement, Rodentia},
	issn = {1553-7358},
	doi = {10.1371/journal.pcbi.1003558},
	author = {Si, Bailu and Romani, Sandro and Tsodyks, Misha}
}
