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1 an impair the precision and stability of CA1 place cells.
2 that responded to tastes, some of which were place cells.
3 ond temporal organization of discharge among place cells.
4 ot impact the firing rates or proportions of place cells.
5 affected by the nature of the input from the place cells.
6 ciations due to learned associations between place cells.
7 sensory inputs via boundary vector cells and place cells.
8 tial learning, supported by the discovery of place cells.
9 g-induced spatial maps represented by rodent place cells.
10 sentation and the mean firing rates (FRs) of place cells.
11 d formation of the spatial firing pattern of place cells.
12 local attractors within a spatial map of CA3 place cells.
13 erience onto a spatial framework embodied by place cells.
14 ation of the firing locations of hippocampal place cells.
15 the phase precession observed in ~37% of CA1 place cells.
16 sical distance traveled, as were ~40% of CA1 place cells.
17 elds, an observation that we extended to CA3 place cells.
18 also point to some form of goal encoding by place cells.
19 identified such responses within hippocampal place cells [1], the activity of which is thought to aid
22 , providing causal evidence that hippocampal place cells actively support spatial navigation and memo
24 udies sought to verify the spatial nature of place cell activity and determine its sensory origin.
25 fore weaning (post-natal day [P]21), offline place cell activity associated with sharp-wave ripples (
27 onal environments, the population vectors of place cell activity changed more abruptly with distance
28 ppocampal replays are episodes of sequential place cell activity during sharp-wave ripple oscillation
29 segregated by these boundaries, by recording place cell activity from CA1 and CA3 while rats foraged
32 entive behaviors that punctuate exploration, place cell activity mediates the one-trial encoding of o
34 We addressed this question by monitoring CA1 place cell activity, with tetrodes, in control and KO mi
39 ndings suggest that the relationship between place-cell activity and theta oscillations in primate hi
47 healthy brains, spatially tuned hippocampal place cells and entorhinal grid cells exhibit distinct s
51 alled replays, which are well-established in place cells and have been recently reported in grid cell
52 consistent with prior studies of hippocampal place cells and providing a rich representational repert
53 ng decreased theta frequency oscillations of place cells and reduced distance-time compression but pr
54 on both precise location-specific firing of place cells and the coarse-coded, goal-trajectory planni
55 The hippocampus comprises two neural signals-place cells and theta oscillations-that contribute to fa
58 ratory behavior, disrupted spatial coding by place cells, and caused selective alterations in spatial
59 ow that dorsal CA1 pyramidal neurons are all place cells, and do not respond to the tone when the ani
61 The unitary firing fields of hippocampal place cells are commonly assumed to be generated by inpu
65 s of environments, different combinations of place cells are recruited, consistent with the notion of
69 fear influences the stability of hippocampal place cells as a function of threat distance in rats for
71 d spatial activity of dorsal hippocampal CA1 place cells as male rats explored a familiar or a novel
72 lateral mammillary nuclei and then recorded place cells as rats explored multiple, connected compart
73 elationships between engrams and hippocampal place cells, as well as the molecular, cellular, physiol
74 mpal cognitive map in a network of transient place cell assemblies and demonstrate, using methods of
75 dual, goal novelty-related reorganization of place cell assemblies and with trajectory replay that re
76 ined demand on these memories influenced CA1 place cell assemblies while reference memories were part
77 iation of distal dendritic inhibition by CA1 place cells attenuated the excitatory entorhinal input a
79 stability, decreased overall excitability of place cells, behavior variables, or the absence of indiv
80 irectional late-to-early phase precession of place cells, bidirectional phase modulation acted to ret
81 iscussions of the hippocampus often focus on place cells, but many neurons are not place cells in any
82 eatures result solely from varying inputs to place cells, but recent studies suggest instead that pla
83 hibitory conductance enhances rate coding in place cells by suppressing out-of-field excitation and b
84 er that neuronal firing rates of hippocampal place cells code for periodically repeating events and t
85 nd that (1) the interaction between grid and place cells converges quickly; (2) the spatial code of p
86 viously showed that ensembles of hundreds of place cells could accurately encode topological informat
87 del to assess the effect of running speed in place cell data recorded from rats running on linear tra
88 lty of performing functional recordings from place cell dendrites, no direct evidence of regenerative
93 s converges quickly; (2) the spatial code of place cells does not require, but is altered by, grid ce
94 lp localize the firing fields of hippocampal place cells during formation and use of the hippocampal
95 n of visual cortical neurons and hippocampal place cells during spatial navigation behavior has yet t
96 lated activity in individual hippocampal CA1 place cells during spatial navigation in a virtual reali
98 capacity involves the replay of hippocampal place-cells during awake states, generating small sequen
99 nsive research, the learning-related role of place cell dynamics in health and disease remains elusiv
100 more, we find that both splitter neurons and place cells emerged rapidly and maintained stable trajec
101 ippocampal function, embracing the idea that place cells encode a geometric representation of space.
107 rate remapping, in which the spatial map of place cells encodes contextual information through firin
108 und grid cells to be spatially coherent with place cells, encoding locations 11 ms delayed relative t
109 heir spatial code following threat exposure, place cells enhance their spatial coding with the possib
111 aracterize the long-term effects of shock on place cell ensemble stability, demonstrating that shock
112 d restrict the range of parameters for which place cell ensembles are capable of producing a map with
113 uring active navigation, rat hippocampal CA1 place cell ensembles are inherently organized to produce
116 , 15], since the reactivation of hippocampal place cell ensembles occurs during ripples [16-19].
118 babilities on the ability of the hippocampal place cell ensembles to produce a cognitive map of the e
120 e, we review theoretical models of lingering place cell excitability and behaviorally induced synapti
124 tly, reductions in the number of hippocampal place cells exhibiting significant theta rhythmicity and
128 patterns produced when groups of hippocampal place cells fire in sequences that reflect a compressed
133 e, we tested the hypothesis that hippocampal place cell firing is impaired after PAE by performing in
134 mporally ordered and compressed sequences of place cell firing observed during wakefulness are reinst
139 ("learn" the space) within certain values of place cell firing rate, place field size, and cell popul
143 ossible contributions of these cell types to place cell firing, taking advantage of a developmental t
150 at are functionally coupled with hippocampal place cells for spatial processing during natural behavi
154 se conditions, no recovery was observed upon placing cells from the exposed cultures into fresh media
157 s self-organized; and (6) grid cell input to place cells helps stabilize their code under noisy and/o
158 l memory and elicited drastic changes in CA1 place cells in a familiar environment, similar to those
163 presented the less discriminable routes, and place cells in general over-represented the start locati
165 ing of spikes from spatial neurons including place cells in hippocampus and grid cells in medial ento
170 ad direction (HD), boundary vector, grid and place cells in the entorhinal-hippocampal network form t
171 change in the spatial characteristics of CA1 place cells in the familiar environment following ReRh l
178 Our findings are consistent with a model of place cells in which they provide a spontaneously constr
181 support the idea that synaptic plasticity in place cells is involved in forming new place fields.
182 l input; (3) plasticity in sensory inputs to place cells is key for pattern completion but not patter
183 y oscillations, and the ensemble activity of place cells is organized into temporal sequences bounded
184 rge of a subset of pyramidal neurons called "place cells" is spatially organized such that discharge
187 t during spatial navigation, hippocampal CA1 place cells maintain a continuous spatial representation
189 heta phase procession arose in a minority of place cells, many of which displayed two preferred firin
192 t it is unclear how spatial information from place cells may reciprocally organize subcortical theta-
193 a computational model, that the hippocampal place cells may ultimately be interested in a space's to
194 nterneurons had spatially uniform effects on place cell membrane potential dynamics, substantially re
196 t issue is understanding how the hippocampal place-cell network represents specific properties of the
197 This view is supported by the finding of place cells, neurons whose firing is tuned to specific l
200 at regenerative dendritic events do exist in place cells of behaving mice, and, surprisingly, their p
201 r the spatial representations encoded by CA1 place cells of both familiar and novel environments.
204 ve less spatially specific firing fields and place cells only responded to tastes delivered inside th
205 e responsiveness is intrinsic to a subset of place cells or emerges as a result of experience that re
211 l sharp wave-ripples (SPW-Rs) and associated place-cell reactivations are crucial for spatial memory
212 d as multimodal attractors in populations of place cells, recent experiments morphed one familiar con
213 We then investigated field stability of place cells recorded across 5 d both in the familiar and
214 rning, in vitro synaptic plasticity, in vivo place cell recording, and western blot analysis to deter
215 5, 9], receiving support from the way rodent place cells "remap" nonlinearly between spatial represen
216 contrast, the place fields of SPW-R-silenced place cells remapped, and their spatial information rema
217 ual fear conditioning results in hippocampal place cell remapping and long-term stabilization of nove
218 rid realignment can be explained in terms of place cell remapping as opposed to the other way around;
220 ation mimicking this LC-CA1 activity induces place cell reorganization around a familiar reward, whil
228 heories of hippocampal function propose that place cell representations are formed during an animal's
230 don et al. (2014) show that the formation of place cell representations in new environments is preser
233 llocentric code of boundary vector cells and place cells requires consistent head-direction informati
234 This representation captures many aspects of place cell responses that fall outside the traditional v
235 the increased excitatory weights, such that place cells return to their baseline firing rate after e
238 ve been reported to co-occur with long-range place cell sequence replays during the quiet awake state
239 biophysical modeling, and explore the LFP of place cell sequence spiking ("replays") during sharp wav
242 ccurred in ripple-associated awake replay of place cell sequences encoding the paths from the animal'
244 rrent positions to the shock zone but not in place cell sequences within individual cycles of theta o
245 est epochs and analysis of the recurrence of place cell sequences-reveal that the enhancement of repl
248 following fear acquisition, hippocampal CA1 place cells sharpen their spatial tuning and dynamically
249 of the theta oscillation, the set of active place cells shifts from those signaling positions behind
252 s, time, and conditions; generates realistic place cell simulation data; and conceptualizes a framewo
253 ity recording methods to monitor hundreds of place cells simultaneously while rats explored multiple
254 n their vicinity with a higher proportion of place cells, smaller place fields, increased spatial sel
255 ulti-plane two-photon calcium imaging of CA1 place cell somata, axons and dendrites in mice navigatin
256 ntrast, the activity patterns of hippocampal place cells span distinct low-dimensional manifolds in d
259 ta sequences," ordered series of hippocampal place cell spikes that reflect the order of behavioral e
262 Simulating several theoretical models of place-cells suggested that combining sensory information
263 reward sensitivity and policy dependence in place cells suggests that the representation is not pure
266 vation into the microbes' natural habitat by placing cells taken from varying environmental samples i
267 modifying physical properties of spiking in place cells that contribute to changes in navigation and
269 ics, we identified and selectively activated place cells that encoded behaviorally relevant locations
270 o affected activity in small groups of other place cells that were active around the same time in the
271 n the reactivation ('replay') of hippocampal place cells that were active during recent behaviour.
272 epresents spatial information, such as with "place cells" that represent an animal's current location
273 physiological evidence from rat hippocampal place cells, that the path-integration gain is a highly
274 lls, but recent studies suggest instead that place cells themselves may play an active role through r
278 rea CA1 of the hippocampus, the selection of place cells to represent a new environment is biased tow
280 n the hippocampus tuned to spatial location (place cells) typically change their tuning when an anima
281 s firing fields, and artificial remapping of place cells under depolarization, but not under hyperpol
282 ly that CA3 is the predominant driver of CA1 place cells under normal conditions, while also revealin
283 s face different directions, suggesting that place cells use a directional input to differentiate oth
284 nt, computationally modeling the activity of place cells using methods derived from algebraic topolog
287 Targeted stimulation of a small number of place cells was sufficient to bias the behavior of anima
289 ocks in a shock zone on a track, we analyzed place cells when the animals were placed on the track ag
290 n environment's geometry, unlike hippocampal place cells, which activate at particular random locatio
291 TATEMENT We investigated whether hippocampal place cells, which compute a self-localization signal, a
292 rain represents space is through hippocampal place cells, which indicate when an animal is at a parti
293 asis of this theory, we examined hippocampal place cells, which represent spatial information, in rat
294 PV-iLTD and SST-iLTP cooperate to stabilise place cells while facilitating representation of multipl
295 the downstream projection from grid cells to place cells, while recent data have pointed out the impo
296 e demonstrate that bimodal excitation drives place cells, while unimodal excitation drives weaker or
297 ured network of taste-responsive hippocampal place cells with large fields, whose spatial representat
298 patterns observed during recent experience: place cells with overlapping spatial fields show a great
299 d activity in the out-of-field firing of CA1 place cells, with a ramping-up of firing rate during the
300 in this first line of defense, strategically placed cells within the vasculature and tissue respond t