Off-line replay maintains declarative memories in a model of hippocampal-neocortical interactions

By Szabolcs Káli, Peter S. Dayan. 2004

174 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

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Citations in the corpus

Replay in Deep Learning: Current Approaches and Missing Biological Elements (2021, neutral): “For example, Káli and Dayan (2004) proposed a model where the HC and cortex were modeled as a lookup table and a restricted-Boltzmann-machine, respectively.”
About sleep's role in memory. (2013, background): “Consistent with predictions from computational models (613, 800), there is now also evidence that hippocampal activity during SWS (i.”
The contribution of sleep to hippocampus-dependent memory consolidation. (2007, background): “A dialog between neocortex and hippocampus to consolidate memory Modeling of memory has shown that two complementing stages are required in a memory system to enable it to store informationforthe long term and to incorporate new materialwithinlong-termmemorywithoutcompromising pre-existing memories ”
Causes and consequences of representational drift (2019, background): “In addition, other mechanisms for maintaining coherent representations could also be used, including off-line rehearsal [42] and reactivation of cell assemblies [43].”
The restless engram: consolidations never end. (2012, unknown): “ACSH gains support from additional developments in computational models (Kali & Dayan 2004), though these models do not specify sleep per se as obligatory in implementing the stages proposed.”
Hippocampal sharp wave‐ripple: A cognitive biomarker for episodic memory and planning (2015, background): “Computational considerations also point out the advantages of coupling a fast temporary storage network with limited capacity with a slower long-term storage space with large capacity (Marr, 1971; Hasselmo and Bower, 1993; McClelland et al., 1995; Redish and Touretzky, 1998; Kali and Dayan, 2004; Sa”
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated. (2016, unknown): “Evidence also suggests that new DG within the hippocampus and between hippocampus and neocortex, and this allows a single event to be replayed many times during a single sleep period [1 – 3,58 ,60 ,61 ].”
Disruption of ripple-associated hippocampal activity during rest impairs spatial learning in the rat (2009, background): “After behavior, the high recurrent excitation during population bursts (Buzsaki, 1986) would promote the transfer of information back to the neocortex, leading to a long-term memory storage largely independent from the hippocampus (Kali and Dayan, 2004).”
Coordinated memory replay in the visual cortex and hippocampus during sleep (2007, background): “Recent studies have provided electrophysiological evidence for the involvement of the hippocampus and neocortex in memory processing during sleep, reflecting either active participation in the process of memory consolidation as proposed in theoretical model”
Hippocampal CA3 Output is Crucial for Ripple-Associated Reactivation and Consolidation of Memory (2009, unknown): “…synchronous discharge of CA1 pyramidal cells and interneurons, it is hypothesized that the key to synaptic plasticity and memory consolidation is the specific coactivation of subsets of cells that reflect the neuronal activity present during learning (Foster and Wilson, 2006; Kali and Dayan, 2004).”
Post-learning hippocampal dynamics promote preferential retention of rewarding events (2016, background): “According to some models of memory consolidation, neural processes that occur after learning can also influence retention (Carr et al. 2011; Káli and Dayan 2004; Sutherland and McNaughton, 2000).”
Hippocampal Contributions to Control: The Third Way (2007, background): “However, why should it be better to act on the basis of the recollection of single happenings, rather than the seemingly normative use of accumulated statistics from multiple events? The task of building such a statistical model is normally the dominion of semantic memory [2], the other main form of”
Efficient Partitioning of Memory Systems and Its Importance for Memory Consolidation (2013, unknown): “[8,26,27]) on memory consolidation that show the importance of partitioning memory systems when new semantic memories are inserted into a body of knowledge.”