Enriched experience increases reciprocal synaptic connectivity and coding sparsity in higher-order cortex

The integration of new information during sleep reshapes cortical representations that support categorical knowledge. Auto-associative attractor network theories predict that reciprocal excitatory connections help form stable categorical attractors, but direct evidence is missing. We tested this using ten weeks of enriched experience (ENR) in mice as a model for knowledge accumulation and recorded single-unit activity across hippocampus and neocortex. ENR induced significant remodeling in high- but not low-level neocortex, with a shift from unidirectional to bidirectional excitatory-excitatory connections, suggestive of increased 'cell assemblies'. This was accompanied by increased inhibitory-to-excitatory connections and sparser, more orthogonal population activity during awake rest and slow-wave sleep, particularly in deep layers. Thus, ENR reorganizes cortical circuits into a symmetric, inhibition-balanced network that improves coding efficiency, supporting long-standing attractor network predictions.

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Journal
Science Advances
Published
2026-08-21
DOI
https://doi.org/10.1126/sciadv.aec3893
Citations
1
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

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Enriched experience increases reciprocal synaptic connectivity and coding sparsity in higher-order cortex

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article

Enriched experience increases reciprocal synaptic connectivity and coding sparsity in higher-order cortex

Wing Ning, Christelle Anaclet, Bruce L. McNaughton, Justin L. Shobe, Rajat Saxena, Aida M. Andujo
article en
1 citations

Abstract

The integration of new information during sleep reshapes cortical representations that support categorical knowledge. Auto-associative attractor network theories predict that reciprocal excitatory connections help form stable categorical attractors, but direct evidence is missing. We tested this using ten weeks of enriched experience (ENR) in mice as a model for knowledge accumulation and recorded single-unit activity across hippocampus and neocortex. ENR induced significant remodeling in high- but not low-level neocortex, with a shift from unidirectional to bidirectional excitatory-excitatory connections, suggestive of increased 'cell assemblies'. This was accompanied by increased inhibitory-to-excitatory connections and sparser, more orthogonal population activity during awake rest and slow-wave sleep, particularly in deep layers. Thus, ENR reorganizes cortical circuits into a symmetric, inhibition-balanced network that improves coding efficiency, supporting long-standing attractor network predictions.

Science AdvancesVol. 12(34)
University of Lethbridge (CA), University of California, Irvine (US), Norwegian University of Science and Technology (NO), Neurological Surgery (US), Kavli Institute for Systems Neuroscience (NO), University of California, Davis (US)
National Institutes of Health, Defense Advanced Research Projects Agency, Advanced Research Projects Agency
Openalex Percentile: Top 99%
Neural dynamics and brain function
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