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bioRxiv · 10.1101/2024.07.23.604787

Two-factor synaptic consolidation reconciles robust memory with pruning and homeostatic scaling

Iatropoulos, G.·Gerstner, W.·Brea, J.
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Abstract

Memory consolidation involves a process of engram reorganization and stabilization that is thought to occur primarily during sleep through a combination of neural replay, homeostatic plasticity, synaptic maturation, and pruning. From a computational perspective, however, this process remains puzzling, as it is unclear how the underlying mechanisms can be incorporated into a common mathematical model of learning and memory. Here, we propose a solution by deriving a consolidation model that uses replay and two-factor synapses to store memories in recurrent neural networks with sparse connectivity and maximal noise robustness. The model offers a unified account of experimental observations of consolidation, such as multiplicative homeostatic scaling, task-driven synaptic pruning, increased neural stimulus selectivity, and preferential strengthening of weak memories. The model further predicts that intrinsic synaptic noise scales sublinearly with synaptic strength; this is supported by a meta-analysis of published synaptic imaging datasets.

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Iatropoulos, G., Gerstner, W., Brea, J.. 2024-07-24. Two-factor synaptic consolidation reconciles robust memory with pruning and homeostatic scaling. https://doi.org/10.1101/2024.07.23.604787

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