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bioRxiv · 10.1101/2022.12.05.519094

Predicting distributed working memory activity in a large-scale mouse brain: the importance of the cell type-specific connectome

Ding, X.·Froudist-Walsh, S.·Jaramillo, J.·Jiang, J.·Wang, X.-J.
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Abstract

Recent advances in connectome and neurophysiology make it possible to probe whole-brain mechanisms of cognition and behavior. We developed a large-scale model of the mouse multiregional brain for a cardinal cognitive function called working memory, the brains ability to internally hold and process information without sensory input. The model is built on mesoscopic connectome data for inter-areal cortical connections and endowed with a macroscopic gradient of measured parvalbumin-expressing interneuron density. We found that working memory coding is distributed yet exhibits modularity; the spatial pattern of mnemonic representation is determined by long-range cell type-specific targeting and density of cell classes. Cell type-specific graph measures predict the activity patterns and a core subnetwork for memory maintenance. The model shows numerous self-sustained internal states (each engaging a distinct subset of areas). This work provides a framework to interpret large-scale recordings of brain activity during cognition, while highlighting the need for cell type-specific connectomics.

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Ding, X., Froudist-Walsh, S., Jaramillo, J., Jiang, J., Wang, X.-J.. 2022-12-05. Predicting distributed working memory activity in a large-scale mouse brain: the importance of the cell type-specific connectome. https://doi.org/10.1101/2022.12.05.519094

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