Dimensionality reduction of calcium-imaged neuronal population activity

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Nature Computational Science. 2023 Jan 01;. doi: 10.1038/s43588-022-00390-2

Dimensionality reduction of calcium-imaged neuronal population activity Ahrens Lab

Koh Tze, Bishop William, Kawashima Takashi, Jeon Brian, Srinivasan Ranjani, Kuhlman Sandra, Ahrens Misha, Chase Steven, Yu Byron

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Abstract

Calcium imaging has been widely adopted for its ability to record from large neuronal populations. To summarize the time course of neural activity, dimensionality reduction methods, which have been applied extensively to population spiking activity, may be particularly useful. However, it is unclear if the dimensionality reduction methods applied to spiking activity are appropriate for calcium imaging. We thus carried out a systematic study of design choices based on standard dimensionality reduction methods. We also developed a novel method to perform deconvolution and dimensionality reduction simultaneously (termed CILDS). CILDS most accurately recovered the single-trial, low-dimensional time courses from calcium imaging that would have been recovered from spiking activity. CILDS also outperformed the other methods on calcium imaging recordings from larval zebrafish and mice. More broadly, this study represents a foundation for summarizing calcium imaging recordings of large neuronal populations using dimensionality reduction in diverse experimental settings.

PMID: 37476302 [PubMed - indexed for MEDLINE]

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bioRxiv PrePrint https://doi.org/10.1101/2022.03.11.480682

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Dimensionality reduction of calcium-imaged neuronal population activity

Abstract

PMID: 37476302 [PubMed - indexed for MEDLINE]

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