Learning-Induced Sequence Reactivation During Sharp-Wave Ripples: A Computational Study

Malerba, Paola; Tsimring, Katya; Bazhenov, Maxim

doi:10.1007/978-3-319-98684-5_11

Cited by 4 publications

(4 citation statements)

References 74 publications

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“…The firing rates of excitatory and inhibitory cells in the system were consistent with experimental in vivo data. The CA1-CA3 model activity in isolation from cortical input was previously studied in terms of the ripple generation mechanism (Malerba et al 2016), the synaptic connections role on reactivation during ripples , and the relation between reactivation during sleep and synaptic changes induced by awake learning (Malerba et al 2018). Technically, the model closely followed that of Bazhenov 2019, Malerba et al 2016) with a slight difference in CA3 connectivity and projections to CA1, which leads to a single main excitable region in CA3 generating all the sharp waves, rather than sharp waves being initiated at random locations in CA3 (which was observed in previous models).…”

Section: Hippocampal Modulementioning

confidence: 99%

Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep

et al. 2020

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The dialogue between cortex and hippocampus is known to be crucial for sleep-dependent memory consolidation. During slow wave sleep, memory replay depends on slow oscillation (SO) and spindles in the (neo)cortex and sharp wave-ripples (SWRs) in the hippocampus. The mechanisms underlying interaction of these rhythms are poorly understood. We examined the interaction between cortical SO and hippocampal SWRs in a model of the hippocampo–cortico–thalamic network and compared the results with human intracranial recordings during sleep. We observed that ripple occurrence peaked following the onset of an Up-state of SO and that cortical input to hippocampus was crucial to maintain this relationship. A small fraction of ripples occurred during the Down-state and controlled initiation of the next Up-state. We observed that the effect of ripple depends on its precise timing, which supports the idea that ripples occurring at different phases of SO might serve different functions, particularly in the context of encoding the new and reactivation of the old memories during memory consolidation. The study revealed complex bidirectional interaction of SWRs and SO in which early hippocampal ripples influence transitions to Up-state, while cortical Up-states control occurrence of the later ripples, which in turn influence transition to Down-state.

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Section: Hippocampal Modulementioning

confidence: 99%

Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep

et al. 2020

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“…In this work, we used a recently developed model of SWR activity in CA3 and CA1 [10][11][12][13], and focused on sharp wave activity in CA3. The model included 2800 neurons aggregating the two regions, and the model equations were solved using a standard 1-step Euler integration algorithm.…”

Section: Introductionmentioning

confidence: 99%

Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3

Malerba

Rulkov

Bazhenov

2019

Communications in Nonlinear Science and Numerical Simulation

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“…In the brain, most likely a mixture of all of these variants may be prevalent [ 37 ]. Note that in many computational models, ripple generation relies on the presence of external stimulation signals (but see [ 36 , 38 ]), although some studies included other brain areas, which generate these inputs (other hippocampal areas, cortex, thalamus), and investigated the interrelation of activities between the brain areas [ 39 , 40 ] as well as the learning related changes of these activities [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

Differences in the consolidation by spontaneous and evoked ripples in the presence of active dendrites

Jauch,

Becker,

Tetzlaff

et al. 2024

PLoS Comput Biol

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Ripples are a typical form of neural activity in hippocampal neural networks associated with the replay of episodic memories during sleep as well as sleep-related plasticity and memory consolidation. The emergence of ripples has been observed both dependent as well as independent of input from other brain areas and often coincides with dendritic spikes. Yet, it is unclear how input-evoked and spontaneous ripples as well as dendritic excitability affect plasticity and consolidation. Here, we use mathematical modeling to compare these cases. We find that consolidation as well as the emergence of spontaneous ripples depends on a reliable propagation of activity in feed-forward structures which constitute memory representations. This propagation is facilitated by excitable dendrites, which entail that a few strong synapses are sufficient to trigger neuronal firing. In this situation, stimulation-evoked ripples lead to the potentiation of weak synapses within the feed-forward structure and, thus, to a consolidation of a more general sequence memory. However, spontaneous ripples that occur without stimulation, only consolidate a sparse backbone of the existing strong feed-forward structure. Based on this, we test a recently hypothesized scenario in which the excitability of dendrites is transiently enhanced after learning, and show that such a transient increase can strengthen, restructure and consolidate even weak hippocampal memories, which would be forgotten otherwise. Hence, a transient increase in dendritic excitability would indeed provide a mechanism for stabilizing memories.

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Learning-Induced Sequence Reactivation During Sharp-Wave Ripples: A Computational Study

Cited by 4 publications

References 74 publications

Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep

Bidirectional Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Spiking Activity During NREM Sleep

Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3

Differences in the consolidation by spontaneous and evoked ripples in the presence of active dendrites

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