Replay Comes of Age.

By David J. Foster. 2017

355 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Reinforcement Learning

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Citations in the corpus

World Models (2018, background): “In this section, we describe how we can train the Agent model described earlier to solve a car racing task.”
Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “While there have been multiple reviews of replay in the brain (Tingley & Peyrache, 2020; Ólafsdóttir, Bush, & Barry, 2018; Pfeiffer, 2020; Foster, 2017; Robert-son & Genzel, 2020) and reviews of continual learning in artificial networks (Kemker, McClure, Abitino, Hayes, & Kanan, 2018; Parisi,…”
REMIND Your Neural Network to Prevent Catastrophic Forgetting (2019, background): “network, are replayed during sleep to train the neocortex, which learns more slowly but is better at generalization [16].”
Learning Structures: Predictive Representations, Replay, and Generalization (2020, background): “It was also shown that simulated experience during offline replay can update cognitive maps [4], e.”
The content of hippocampal “replay” (2018, result): “It is possible that differences in statistical methods account for the discrepancy between pre-play observation across different groups (Foster, 2017).”
Neural reactivation in parietal cortex enhances memory for episodically linked information (2018, background): “We examined the hippocampus because single-unit recording studies in rats have shown that the hippocampus “replays” recent experiences during sleep and wakeful rest (24), leading to the stabilization of new memories.”
Hippocampal replays under the scrutiny of reinforcement learning models. (2018, background): “, 2016), suggesting that rodent brain may be using prioritized sweeping (Foster, 2017).”
Navigating cognition: Spatial codes for human thinking (2018, background): “This so-called “replay” demonstrates the ability of spatially tuned cells to represent locations beyond the animal’s current position (57).”
Human Replay Spontaneously Reorganizes Experience (2019, background): “, 2015), that have never been experienced suggests replay might be important for building and sampling internal models of space (Foster, 2017; Pezzulo et al., 2014).”
On the link between conscious function and general intelligence in humans and machines (2022, background): “While interpretation of this phenomenon has been debated (see (Foster, 2017) for a review), we use it here in the more general sense of behaviorally relevant experience generation, following Pezzulo et al. (2014) and others.”
Computational neuroethology: a call to action (2019, background): “…to some of the most exciting discoveries in brain science over the past 50 years, including place cells (Hartley et al., 2014), grid cells (Rowland et al., 2016), replay (Foster, 2017), mechanisms of non-associative learning (Kandel et al., 2014), and the escape response (Medan and Preuss, 2014).”