Play it again: reactivation of waking experience and memory.

By J. O’Neill, Barty Pleydell-Bouverie, David Dupret, J. Csicsvari. 2010

458 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neuroscience

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Citations in the corpus

Continual Lifelong Learning with Neural Networks: A Review (2018, background): “The first set of findings regards the role of the replaying of memories stored in the hippocampus as a mechanism that, in addition to the integration of new information, also supports the goal-oriented manipulation of experience statistics (O’Neill et al. 2010).”
Continual Learning with Deep Generative Replay (2017, background): “The memory is consolidated in the neocortex through the activation synchronized with multiple replays of the encoded experience [27]–a mechanism which inspired the use of experience replay [23] in training reinforcement learning agents.”
Deep Generative Dual Memory Network for Continual Learning (2017, background): “es not preserve the learnt mappings. Neuroscientiﬁc evidence suggests that experience replay of patterns has also been observed in the human brain during sleep and waking rest (McClelland et al.,1995;ONeill et al., 2010). Further, humans have evolved mechanisms to separately learn new incoming tasks”
Replay Comes of Age. (2017, background): “Several recent reviews have covered similar ground, including some shorter reviews (Carr et al. 2011, O’Neill et al. 2010) and a very comprehensive review of related and overlapping phenomena in the local hippocampal electroencelphalogram (EEG) (Buzsaki 2015).”
The restless engram: consolidations never end. (2012, background): “The replay of firing patterns observed in place cell assemblies of rats during sleep is in the same sequence as during prior training, but progresses at a faster speed (O’Neill et al., 2010).”
The Role of Hippocampal Replay in Memory and Planning (2018, background): “In the Csicsvari group studies [84,85] described above goal location reactivations were observed to co-occur with a clustering of CA1 place fields around the goal,”
Hippocampal Reactivation of Random Trajectories Resembling Brownian Diffusion. (2019, background): “This replay occurs in a variety of behavioral and network states, which may reflect different underlying mechanisms and cognitive functions (Foster and Wilson, 2006; O’Neill et al., 2010).”
Neuroscience-Inspired Artificial Intelligence. (2017, background): “This consolidation is accompanied by replay in the hippocampus and neocortex, which is observed as a reinstatement of the structured patterns of neural activity that accompanied the learning event (O’Neill et al., 2010; Skaggs and McNaughton, 1996) (Figure 1B).”