2010
DOI: 10.1038/nature09633
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Preplay of future place cell sequences by hippocampal cellular assemblies

Abstract: During spatial exploration, hippocampal neurons show a sequential firing pattern in which individual neurons fire specifically at particular locations along the animal’s trajectory (place cells1,2). According to the dominant model of hippocampal cell assembly activity, place cell firing order is established for the first time during exploration, to encode the spatial experience, and is subsequently replayed during rest3–6 or slow-wave sleep7–10 for consolidation of the encoded experience11,12. Here we report t… Show more

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Cited by 609 publications
(630 citation statements)
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References 26 publications
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“…The relatively rare occurrence of preplay events (11,12) may simply not provide enough (virtual) experience to consolidate place fields. If so, the opposite result may happen if the unexplored space were somehow made more attentionally salient to the animal.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The relatively rare occurrence of preplay events (11,12) may simply not provide enough (virtual) experience to consolidate place fields. If so, the opposite result may happen if the unexplored space were somehow made more attentionally salient to the animal.…”
Section: Discussionmentioning
confidence: 99%
“…First, place cells in weanling rats show some adult-like spatial tuning during the animals' first spatial experience away from their nests, suggesting that spatial firing is an innate property of the network (10). Second, ensembles of place cells representing unvisited paths (11) or spaces (12) can become active during periods of rest or sleep before direct experience, a phenomenon called "preplay." Preplay of unexplored spaces suggests that animals can mentally explore a space before physical exploration, but it remains unclear whether such mental exploration is by itself capable of forming a lasting representation.…”
mentioning
confidence: 99%
“…An event was considered as preplay of the future place cell sequence (Fig. 1B, Left) when the absolute value of the corresponding temporal-spatial correlation exceeded the 97.5 percentile of a distribution of absolute correlation values calculated between the event and 500 surrogate spatial sequences created by shuffling the original spatial order of place cells (5).We used a Bayesian reconstruction algorithm (5,11,12) to decode the rat's position from the neuronal activity recorded during the first run session on the novel track or during the preceding sleep/rest session in the box. The decoded (reconstructed) position during the run was compared with the actual trajectory of the animal (Fig.…”
mentioning
confidence: 99%
“…Stability analysis of the stationary states A * is done by linearizing the integral equation (3). For small perturbations…”
Section: B Perturbationsmentioning
confidence: 99%
“…Although information processing in biological neuronal networks is often linked to exquisitely timed individual spikes [1][2][3], cognitive phenomena, such as short-term memory and decision making, are also reflected by slowly changing neuronal firing rates [4,5]. To act as such rate encoders, neurons have to be able to gradually and persistently elevate their firing rate over some period of time.…”
Section: Introductionmentioning
confidence: 99%