Author

Erik Delanois

University of California San Diego

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Neuroscience· 1

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Approach:machine learning (classical)· 1 Approach:statistical model· 1

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Bazhenov Maxim· 1 shared Yoshimasa KuboiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperNeuroscience

Bazhenov Maxim

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1 paper

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NeurosciencebioRxivPreprintOct 21, 2026

Firing Without Wiring: How REM-like Sleep Reactivation Rebalances Excitation and Inhibition to Orthogonalize Memories

Yoshimasa Kubo, Erik Delanois, Bazhenov Maxim

This study uses recurrent neural networks to show that REM-like sleep reduces memory interference by decorrelating task-specific neuronal populations and reactivating memory traces through synaptic pruning.

DOI 10.64898/2026.10.11.757684

statistical modelmachine learning (classical)

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