Reverse replay of behavioural sequences in hippocampal place cells during the awake state
By David J. Foster, Matthew A. Wilson. 2006
1,666 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neuroscience, Cognitive Science & Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- György Buzsáki
- David J. Foster
- Y. Dudai
- Loren M. Frank
- Brad E. Pfeiffer
- Jan Born
- Nathaniel D. Daw
- James J. Knierim
In Cognitive Neuroscience
- György Buzsáki
- David J. Foster
- Y. Dudai
- Loren M. Frank
- Nathaniel D. Daw
- Randy L. Buckner
- Karl J. Friston
- Brad E. Pfeiffer
In Neuroscience
- György Buzsáki
- David J. Foster
- Brad E. Pfeiffer
- Y. Dudai
- Peter S. Dayan
- Loren M. Frank
- James J. Knierim
- Kent C. Berridge
In Cognitive Science & Psychology
- György Buzsáki
- Loren M. Frank
- Peter S. Dayan
- Brad E. Pfeiffer
- Y. Dudai
- David J. Foster
- R. J. Dolan
- A. David Redish
Citations in the corpus
- Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “Numerous studies have demonstrated that replay in the hippocampus is linked to the occurrence of sharp-wave ripples (Nádasdy et al., 1999; Foster & Wilson, 2006; Davidson et al., 2009; Peyrache et al., 2009; Buzsáki, 2015).”
- Hippocampal replay in the awake state: a potential physiological substrate of memory consolidation and retrieval (2011, background): “Awake replay of the local environment The first observation of sequential awake replay found that when animals stop and consume a reward after traversing a linear track, sequences of place cells originating at the animal's current location are reactivated in the reverse of the order experienced b”
- Model-Free Episodic Control (2016, background): “The final value achieved by a sequence of actions could quickly become associated with each of its component state-action pairs by the reverse-ordered replay of hippocampal place cell activations that occurs after a rewarding event [7].”
- Hippocampal Replay is Not a Simple Function of Experience (2010, background): “This interpretation is consistent with the observation that reactivation and backward replay events are more frequent in novel environments (Foster and Wilson, 2006; Cheng and Frank, 2008), which could be a mechanism to rapidly acquire a complete representation.”
- Hippocampal replay of extended experience (2009, positive): “Previous studies have taken advantage of the joint tuning of many CA1 cells to running direction and location on the linear track (McNaughton et al., 1983; Muller et al., 1994) to demonstrate that spiking sequences can be replayed in either the forward or reverse temporal order (Diba and Buzsáki, 2”
- The memory function of sleep (2010, background): “Moreover, unlike re-activations that occur during wakefulness, re-activations during SWS almost always occur in the order in which they were experience”
- Reverse replay of hippocampal place cells is uniquely modulated by changing reward (2016, positive): “SWR-associated replay was first reported in slow-wave sleep (Lee and Wilson, 2002) but later was found to also occur in the awake state whenever an animal pauses in an environment (Foster and Wilson, 2006).”
- Model-Based and Model-Free Pavlovian Reward Learning: Revaluation, Revision and Revelation (2014, methodology): “In particular, model-based predictions might train model-free predictions either offline (e.g., during quiet wakefulness or sleep: Foster & Wilson, 2006, 2007) or online (Doll, Jacobs, Sanfey, & Frank, 2009; Gershman et al., 2014), or by providing prediction errors that can directly be used (Daw et…”
- Hippocampal “time cells” bridge the gap in memory for discontiguous events (2011, neutral): “, 2010) and animals (Louie and Wilson, 2001; Foster and Wilson, 2006; Karlsson and Frank, 2009; Davidson et al., 2009) have shown that hippocampal neuronal ensembles ‘‘replay’’ specific event representations following learning.”