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Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation

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  • Douglas Feitosa Tomé

    (Imperial College London)

  • Sadra Sadeh

    (Imperial College London)

  • Claudia Clopath

    (Imperial College London)

Abstract

Systems consolidation refers to the time-dependent reorganization of memory representations or engrams across brain regions. Despite recent advancements in unravelling this process, the exact mechanisms behind engram dynamics and the role of associated pathways remain largely unknown. Here we propose a biologically-plausible computational model to address this knowledge gap. By coordinating synaptic plasticity timescales and incorporating a hippocampus-thalamus-cortex circuit, our model is able to couple engram reactivations across these regions and thereby reproduce key dynamics of cortical and hippocampal engram cells along with their interdependencies. Decoupling hippocampal-thalamic-cortical activity disrupts systems consolidation. Critically, our model yields testable predictions regarding hippocampal and thalamic engram cells, inhibitory engrams, thalamic inhibitory input, and the effect of thalamocortical synaptic coupling on retrograde amnesia induced by hippocampal lesions. Overall, our results suggest that systems consolidation emerges from coupled reactivations of engram cells in distributed brain regions enabled by coordinated synaptic plasticity timescales in multisynaptic subcortical-cortical circuits.

Suggested Citation

  • Douglas Feitosa Tomé & Sadra Sadeh & Claudia Clopath, 2022. "Coordinated hippocampal-thalamic-cortical communication crucial for engram dynamics underneath systems consolidation," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28339-z
    DOI: 10.1038/s41467-022-28339-z
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    References listed on IDEAS

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    4. Friedemann Zenke & Everton J. Agnes & Wulfram Gerstner, 2015. "Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks," Nature Communications, Nature, vol. 6(1), pages 1-13, November.
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