Entorhinal grid cells

…coding properties of hippocampal place cells and entorhinal grid cells. However, the diverse, spatially-tuned cells of the primary output of hippocampal neurons - the subiculum - have eluded a unified account. Here, we demonstrate that incorporating rodent behavioural biases into the successor representation reproduces the heterogeneous activity patterns of subicular neurons. Notably, this framework accounts for boundary vector and corner cells; neuronal types that are absent from upstream hippocampal re

When animals are placed in multi-compartment or complex environments, entorhinal grid cells exhibit fragmentation of their highly regular spatial tuning curves, with a disjoint grid map for each compartment. However, as the animal explores and increases familiarity with the environment’s geometric and topological structure, the grid maps gradually approach a single globally consistent periodic map [1,2]. Here we show that Hippocampal-MESH — a novel neocortical-hippocampal-entorhinal recurrent circuit model that we introduce in parallel submitted abstracts — can, with the addition of slow plast

Neural responses are variable: even under identical experimental conditions, single neuron and population responses typically differ from trial to trial and across time. Recent work demonstrated that this variability can be modulated by specific stimulus features, most prominently quenched by stimulus onset. However, it is unknown how ubiquitous this effect is across stimulus features, and indeed whether it exists in brain areas to which classical neural coding approaches cannot be applied due to the lack of trials with repeatable experimental stimuli. To address these questions, we develop a

…the regular firing patterns of entorhinal grid cells proposedly providing a metric for cognitive maps. Here, we test the impact of trapezoidal boundary geometry on human spatial memory using immersive virtual reality. Consistent with reduced regularity of grid patterns in rodents and a grid-cell model based on the eigenvectors of the successor representation, human positional memory was degraded in a trapezoid compared to a square environment; an effect particularly pronounced in

Entorhinal grid cells, so-called because of their hexagonally tiled spatial receptive fields, are organized in modules which, collectively, are believed to form a population code for the animal’s position. Here, we apply topological data analysis to simultaneous recordings of hundreds of grid cells and show that joint activity of grid cells within a module lies on a toroidal manifold. Each position of the animal in its physical environment corresponds to a single location on the torus, and each grid cell is preferentially active within a single “field” on the torus. Toroidal firing positions p