Memory of sequential experience in the hippocampus during slow wave sleep.

By Albert K. Lee, Matthew A. Wilson. 2002

574 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neuroscience

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Citations in the corpus

How to Represent Part-Whole Hierarchies in a Neural Network (2021, background): “There is evidence that high-speed, top-down sequence generation occurs during the spindle stage of sleep [Lee and Wilson, 2002, N´adasdy et al., 1999].”
Generalization Through the Recurrent Interaction of Episodic Memories (2012, background): “…model to spontaneously generated neural activity in the hippocampus during resting states such as slow wave sleep (Buzsáki, 1989; Ego-Stengel & Wilson, 2010; Foster & Wilson, 2006; Girardeau et al., 2009; Gupta et al., 2010; Lee & Wilson, 2002; McClelland et al., 1995; Wilson & McNaughton, 1994).”
Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “…used methods for analyzing replay, such as template matching, principal component analysis, and independent component analysis, have shown high similarity but not an exact match, between activation patterns during waking and sleep (Lee & Wilson, 2002; Louie & Wilson, 2001; Peyrache et al., 2009).”
Hippocampal replay in the awake state: a potential physiological substrate of memory consolidation and retrieval (2011, background): “Intriguingly, reverse replay does not seem to be present during slee”
Hippocampal replay of extended experience (2009, positive): “In this respect, awake replay is similar to sequence reactivation during slow-wave sleep (Ji and Wilson, 2007; Lee and Wilson, 2002).”
About sleep's role in memory. (2013, background): “865, 1163): 1) during SWS, firing patterns observed during waking are replayed at a much faster (10–20 times) rate, suggesting a time-compressed form of memory reactivation (160, 551, 606, 715, 843, 1090); 2) replay activity is typically most prominent within the first 20–40 min of sleep or rest aft”
The restless engram: consolidations never end. (2012, background): “Most studies reported that the replay occurred during SWS, particularly during SWR (Nadasdy et al. 1999, Lee & Wilson 2002, Diba & Buzsaki 2007, Ji & Wilson 2007).”
Theta rhythm of navigation: Link between path integration and landmark navigation, episodic and semantic memory (2005, background): “…are compressed into the 150 ms sharp wave event than in several seconds of theta (Wilson and McNaughton, 1994; Skaggs and McNaughton, 1996; Kudrimoti et al., 1999; Nádasdy et al., 1999; Lee and Wilson, 2002), creating opportunities for crossing episodes at the timescale of synaptic plasticity.”
Generative Predictive Codes by Multiplexed Hippocampal Neuronal Tuplets. (2018, unknown): “This approach estimated a rather limited and rigid predictive and recall capacity of the hippocampal network for spatial navigation and memory (Azizi et al., 2013; Dragoi and Tonegawa, 2013b; Karlsson and Frank, 2009; Lee and Wilson, 2002; Silva et al., 2015), in apparent contrast with the increased”
Decoupling through synchrony in neuronal circuits with propagation delays. (2008, unknown): “In particular , in Lee and Wilson (2002) there are 655 cell pair matches and 600 nonmatches out of 1255 trials, a deviation which is not significantly different from the 628 matches expected by chance.”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “Recent work on human subjects and behaving animals indicates that non-REM sleep might play a role in memory consolidation (100, 449, 919, 920) and that this function might be related to the slow oscillation itself (449, 478, 565, 647).”
Hippocampal replays under the scrutiny of reinforcement learning models. (2018, background): “PCs reactivate during SWRs (Wilson and McNaughton, 1994), and some of the reactivations activate in order, as if they were following credible trajectories in the previously experienced environments (Lee and Wilson, 2002).”
Hippocampal replay contributes to within session learning in a temporal difference reinforcement learning model (2005, unknown): “(B) The model with replay shows a slower onset of path stereotypy than the standard model. sleep states in between experimental sessions (Lee & Wilson, 2002; Louie & Wilson, 2001; Nádasdy et al., 1999; Skaggs et al., 1996).”
Navigating cognition: Spatial codes for human thinking (2018, background): “Place cell sequences during replay are temporally compressed relative to trajectories during running (56, 57, 111) and might thereby allow fast simulations of trajectories through cognitive space (Fig.”
Cortical travelling waves: mechanisms and computational principles (2018, background): “…which appear during awake resting and slow-wave sleep 144 and are involved in replay of waking hippocampal spike sequences during sleep 145 , have also been shown to be travelling waves, starting at discrete points along the dorsoventral axis and propagating in either the dorsal or…”
Rewarded Outcomes Enhance Reactivation of Experience in the Hippocampus (2009, unknown): “Place cells are also active during high frequency network oscillations called sharp wave ripples (SWRs), in which sequences of cells activated during movement are reactivated (Skaggs and McNaughton, 1996; Lee and Wilson, 2002; Foster and Wilson, 2006; Ji and Wilson, 2007; Diba and Buzsáki, 2007).”
How Memory Replay in Sleep Boosts Creative Problem-Solving (2018, background): “While non-REM replay occurs in a temporally compressed form, around 6–20 times faster than the real experience [76], replay in REM sleep is not compressed to this extent, and instead more closely reflects the real time involved in doing the task.”
Reactivation of experience-dependent cell assembly patterns in the hippocampus (2008, background): “In addition, there is evidence that the firing sequences of place cells representing movement paths are reactivated during sleep after the animal follows stereotyped movement paths (for example, on linear tracks or circular mazes”