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1 varies 10 or more years within a single GCM grid cell.
2 ulated with a cloud-permitting model in each grid cell.
3 environment in place caused rate changes in grid cells.
4 es to the firing of head direction cells and grid cells.
5 question regards the function of entorhinal grid cells.
6 verlaid onto the global hexagonal pattern of grid cells.
7 gh medial entorhinal cortex, perhaps via the grid cells.
8 signal to generate the repeating pattern of grid cells.
9 portant for navigation and memory, including grid cells.
10 sharply tuned to time and distance than non-grid cells.
11 junctive position-by-velocity selectivity of grid cells.
12 and are considered to be space-representing grid cells.
13 rbon (EC) by 16% (-0.05 mug/m(3)) in highway grid cells.
14 n and the associated movement speed to drive grid cells.
15 o be important for the accurate modelling of grid cells.
16 thought to be the neuronal correlate of the grid cells.
17 itical for downstream spatial computation by grid cells.
18 tional system with two key pieces: place and grid cells.
19 cells that represent much larger spaces than grid cells.
20 ns, the configuration space was divided into grid cells.
21 m of place, directional, boundary vector and grid cells.
22 ive and neutral genetic variation across the grid cells.
23 ypes in the circuit, such as place cells and grid cells.
24 remapping of place cells, and realignment of grid cells.
25 ing rate speed signals thought to be used by grid cells.
26 ke daily predictions of PM2.5 at 1 km x 1 km grid cells.
28 15) show that the spatial firing patterns of grid cells accumulate error, drifting coherently, until
29 onatal mortality at a resolution of 5 x 5 km grid cells across 46 African countries for 2000, 2005, 2
32 experiments in rats that measured place and grid cell activity in different environments, and then a
37 ngs have strong implications for theories of grid-cell activity and substantiate the general hypothes
40 The spacing between neighboring fields for a grid cell also increases along the dorsoventral axis.
42 ing rats belonged to this class and included grid cells, an important subset that corresponds to thre
43 environment invariance generalizes to human grid-cell analogs, where the relative contribution of vi
44 dmarks that both correct error in entorhinal grid cells and bind internal spatial representations to
45 tion of spatially modulated cells, including grid cells and border cells, in these layers suggests th
47 the likely interaction between place cells, grid cells and boundary vector cells in estimating self-
48 he hippocampus, with directionally modulated grid cells and forward replay exhibiting the greatest co
50 of head direction information to entorhinal grid cells and hippocampal place cells, yaw plane optic
51 only weakly influenced by location, but most grid cells and other neurons recorded from the same elec
53 is review is to summarize what we know about grid cells and point out where our knowledge is still in
54 ook into account also soil deposition within grid cells and the potential C export to riverine system
56 ating the regular spatial firing patterns of grid cells, and changes in grid cell firing fields with
57 dioxide (NO2) by 28% (-2.33 ppbV) in highway grid cells, and reduced elemental carbon (EC) by 16% (-0
58 s the gradient of spatial scale in place and grid cells, and suggests that the brain constructs spati
60 scriminable the individual fields of a given grid cell are by looking at the distribution of field fi
72 f true-would greatly change the way in which grid cells are thought to contribute to place coding.
73 e provide the first evidence suggesting that grid cells are utilized during movement of viewpoint wit
74 uantity are defined climatologically at each grid cell as the 50 d with the highest values in three 5
75 cells have been modeled as a ring attractor, grid cells as a plane attractor, and place cells both as
78 imal studies have identified place cells and grid cells as important for path integration, but underl
79 equired to sustain grid firing, by recording grid cells as mice explore familiar environments in comp
80 To investigate these influences, we recorded grid cells as rats explored an open-field platform in a
82 the spatial variability was computed between grid cells at half-degree resolution, we found that almo
83 a set of functionally dedicated cell types: grid cells, border cells, head direction cells, and spee
84 These highly specialized neurons include grid cells, border cells, head-direction cells, and irre
86 ts, the spacing between the firing fields of grid cells changes systematically along the dorsal-ventr
87 wed no theta-frequency resonance, suggesting grid-cell coding via different mechanisms in bats and ra
88 onally distinct cell types such as place and grid cells, combined with an extensive body of human-bas
91 e interval, 1.34-1.63; P<0.0001), as well as grid cells containing train stations (odds ratio, 3.80;
92 orhinal cortex, raising the possibility that grid cells contribute to stable place fields when an org
94 n other entorhinal cell populations, such as grid cells, could depend on plasticity, raising the poss
95 for spatial navigation, including entorhinal grid cells, critically depend on input from the head dir
97 out the necessity of spatial exploration for grid cell development, network topography, the maturatio
98 ie close to a two-dimensional (2D) manifold: grid cells differed only along two dimensions of their r
101 d membrane-potential resonance; however, bat grid cells do not exhibit theta rhythmic spiking, genera
102 een recorded around eye-opening (P16), while grid cells do not obtain adult-like features until the f
110 f excitatory and inhibitory coupling between grid cells exist independently of visual input and of sp
112 nning speed and direction, medial entorhinal grid cells fire in repeating place-specific locations, p
113 entorhinal cortex could lead to deficits in grid cell firing and underlie the deterioration of spati
115 irst evidence that in a complex environment, grid cell firing can form the coherent global pattern ne
117 a variety of neuronal properties, including grid cell firing field spacing, which is thought to enco
118 iring patterns of grid cells, and changes in grid cell firing fields with movement of environmental b
122 required for theta rhythmic oscillations and grid cell firing in the medial entorhinal cortex (MEC).
125 r, an accurate and universal metric requires grid cell firing patterns to uniformly cover the space t
127 cues results in a significant disruption of grid cell firing patterns, even when the quality of the
132 e entorhinal cortex, with changes evident in grid cell firing rate and the local field potential thet
143 alize on the six-fold rotational symmetry of grid-cell firing to demonstrate a 60 degrees periodic pa
147 ed with excitatory cell loss and deficits in grid cell function, including destabilized grid fields a
152 e particular spatial representation, that of grid cells, has been observed in the entorhinal cortex (
157 cated in learning and memory, they also are "grid cells." Here we address the question of what kinds
160 e analysis including other landmarks in each grid cell in the model and demographic characteristics,
161 distinguish these possibilities, we examined grid cells in behaving rodents as they made long traject
162 ot periods preceding or succeeding movement, grid cells in deep layers of the entorhinal cortex repla
175 icity and stability in mice and suggest that grid cells in mice cannot perform accurate path integrat
176 erent global representation, we recorded mEC grid cells in rats foraging in an environment containing
178 e found that both oceans and islands contain grid cells in similar proportions, but island cell activ
179 account for the spatial firing properties of grid cells in terms of neuronal oscillators with frequen
187 ng clarifies how this may be achieved by how grid cells in the medial entorhinal cortex (MEC) input t
189 ial location for memory function may involve grid cells in the medial entorhinal cortex, but the mech
190 ur results provide a direct demonstration of grid cells in the primate and suggest that EC neurons en
191 t position in visual space is represented by grid cells in the primate entorhinal cortex (EC), sugges
196 nd rate remapping is self-organized; and (6) grid cell input to place cells helps stabilize their cod
197 e cells does not require, but is altered by, grid cell input; (3) plasticity in sensory inputs to pla
199 at, in the absence of external dynamic cues, grid cells integrate self-generated distance and time in
200 gain insight into the dynamics of place and grid cell interaction, we built a computational model wi
202 we tested these models by directly measuring grid cell intracellular potentials in mice running along
203 found that the periodic spatial activity of grid cells is completely degraded when animals are moved
204 ivity, including activity in a proportion of grid cells, is significantly more speed modulated than o
207 s skilful at predicting range changes at the grid-cell level, ecological niche models do as well, or
208 y or cognitive variables with populations of grid-cell-like neurons whose activity patterns exhibit l
210 elds are topographically organized such that grid cells located more ventrally in MEC exhibit larger
216 Put simply, it is unclear how place and grid cells might provide a global representation of dist
217 ned with simulations of an attractor network grid cell model, demonstrate that landmarks are crucial
218 e movement direction signal required by most grid cell models may arise from other brain structures t
219 incorporating these nonlinear dynamics into grid cell models, we show that they can sharpen the prec
222 expansion could be selective for individual grid cell modules with particular properties of spatial
223 o extremes occur on the same day in the same grid cell more than 50% of the time in the northeastern
224 ides a new interpretation in which place and grid cells mutually interact to form a coupled code for
225 accuracy coincides with the emergence of the grid cell network in the entorhinal cortex, raising the
226 gest a viable functional organization of the grid cell network, and highlight the benefit of integrat
228 Theta rhythmicity and feedforward input from grid cell networks were thus not required to generate ne
229 times higher than those in the corresponding grid cell of an emission inventory developed for air qua
230 corresponding localized increases in railway grid cells of 25% (+0.83 ppbV) for NO2, and 22% (+0.05 m
232 integration performance and the activity of grid cells of the medial entorhinal cortex (MEC) are aff
233 We find that the multiple firing fields of a grid cell operate as independent elements for encoding p
234 rcuitry, we constructed a model of place and grid cells organized in a loop to investigate their mutu
237 from 2003 to 2013 for validation) for model grid cells over the Northern Hemisphere deciduous broadl
238 (<1.5 s) spike timing relationships between grid cell pairs are preserved in the dark, indicating th
239 between the environment firing locations of grid cell pairs varies as a function of the distance bet
240 ate that visual input is required to sustain grid cell periodicity and stability in mice and suggest
244 direction to environmental boundaries, while grid cells provide a complementary self-motion related i
249 tion, the firing of head-direction cells and grid cells reflects the interface between self-motion an
252 el accounts for differences in how place and grid cells represent different environments and provides
259 ircuit, including place, head direction, and grid cells, showed 2D activity patterns similar to those
260 al models hypothesize that generation of the grid cell signal relies upon HD information that ascends
262 e more dorsal visual field, this resulted in grid cell spatial firing that compressed or expanded bas
263 n the ventral visual field, this resulted in grid cell spatial firing that was not sensitive to barri
265 onjunctive grid-by-head-direction cells lost grid cell spatial periodicity but retained head-directio
268 en take advantage of the association between grid-cell specific AOD values and PM(2.5) monitoring dat
269 representing the orientation of the head and grid cells that fire at multiple locations, forming a re
270 ex (MEC) contains specialized neurons called grid cells that form part of the spatial navigation syst
271 onment may have a stronger effect on ventral grid cells that have wider spaced firing fields, whereas
274 sociations between AOD values in neighboring grid cells to develop grid cell predictions when AOD is
276 uit uses the mutual interaction of place and grid cells to encode the surrounding environment and pro
277 ovelty causes the spatial firing patterns of grid cells to expand in scale and reduce in regularity,
278 rmation from HD cells is used with place and grid cells to form a spatial representation (cognitive m
279 models study the downstream projection from grid cells to place cells, while recent data have pointe
280 of symmetric recurrent connectivity between grid cells to provide relative stability and continuous
282 ltaneously recorded spikes from multiple rat grid cells, to explain mechanisms underlying their activ
285 patial scale characterizing the variability (grid cell vs. continent) and to the region of interest (
287 and goal locations encoded by the firing of grid cells when this vector may be much longer than the
288 of path integration in mammals may exist in grid cells, which are found in dorsomedial entorhinal co
290 ll layers except for layer II, and covert in grid cells, which are the major spatially modulated cell
291 cells represent much larger spaces than the grid cells, which enable them to support navigational be
293 at local spatial information also influences grid cells, which-if true-would greatly change the way i
294 ir relative phases remain constant, produces grid cells with consistently offset grids, and reduces V
295 the emissions into 0.5 degrees x 0.5 degrees grid cells with GDP and population as surrogate indexes.
296 ic rat navigational trajectories by learning grid cells with hexagonal grid firing fields of multiple
297 und plane may influence the firing of dorsal grid cells with narrower spacing between firing fields.
299 al methods, we show that the 1D responses of grid cells with stable 1D fields are consistent with a l
300 resented in the brain as phases of arrays of grid cells with unique periods and decoded by the invers
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