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Continuous attractor network model for conjunctive position-by-velocity tuning of grid cells.

ABSTRACT: 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.

SUBMITTER: Si B

PROVIDER: S-EPMC3990514 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

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Continuous attractor network model for conjunctive position-by-velocity tuning of grid cells.

Si Bailu B Romani Sandro S Tsodyks Misha M

PLoS computational biology 20140417 4

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-un ...[more]

PMID: 24743341

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