The entorhinal grid map is discretized

By Hanne Stensola, Tor Stensola, T. Solstad, Kristian Frøland, May-Britt Moser, Edvard I. Moser. Nature, 2012

716 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/0735575039e42b2cd60c7b820e11bdef2466bc36

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

A model of grid cell development through spatial exploration and spike time-dependent plasticity. (2014, neutral): “I I -45 -12 30 0 80 0 80 200 0 neuron 200 80 0 80 0 0 200 0 0 80 80 0 neuron neuron 100 0 200 0 neuron neuron 0 10 20 200 0”
Using Grid Cells for Navigation (2015, background): “…assume, for simplicity, that the orientations of different grid modules are aligned, i.e., x ! and y ! are independent of i (Barry et al., 2007; Stensola et al., 2012) and that grid ﬁring ﬁelds are circularly symmetric as opposed to elliptical, i.e., the scale s i is the same for directions x…”
Organizing Conceptual Knowledge in Humans with a Grid-like Code (2016, background): “a precise and unusual prediction for fMRI (Supplementary text): it is predicted in the bulk activity because grid cells share a common grid axis (12-14), and conjunctive grid cells fire faster on average when movement is aligned to this axis (9).”
The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation (2019, background): “Left to right: environments 1, 2, autocorrelation, real data (Krupic et al., 2012; Stensola et al., 2012), top to bottom: different cells.”
Navigating cognition: Spatial codes for human thinking (2018, background): “Similarly, the scale of entorhinal grid cells increases from the dorsal to the ventral parts of the medial EC, reflecting larger firing fields and larger spacing between fields (24, 47, 49, 91).”
Attractor and integrator networks in the brain (2021, background): “Modular attractor networks permit efficient construction of a large number of representational and memory states in neural networks [163, 129, 240, 241, 242, 243, 60, 214].”
Distinct speed dependence of entorhinal island and ocean cells, including respective grid cells (2015, methodology): “(12): 100 points equally spaced were used to cover the range of data, and the function”