FIGURE

Fig. 5

ID

ZDB-FIG-221023-11

Publication

Rupprecht et al., 2021 - A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging

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Fig. 5

Inference of spiking activity with CASCADE from population calcium imaging across >1100 neurons in adult zebrafish.

a, Multiple planes were imaged simultaneously. Similar results have been obtained in 21 fish. The ROIs are colored with the average number of inferred stimulus-evoked spikes (colorbar). Non-active neurons were left uncolored. b, Randomly selected examples of calcium traces (ΔF/F, blue), inferred spike rates (SR, black) and inferred discrete spikes, highlighting the de-noising through spike inference. c, Correlation of odor-evoked responses across trials, based on ΔF/F data during the initial 2.5 s of the odor response. d, Correlation of odor-evoked responses across trials, based on inferred spiking probabilities. e, Unsupervised detection of sequential factors (left) and their temporal ‘loading’ (bottom), shown together with the inferred spiking probabilities (center) across a subset of stimulus repetitions. The temporal loadings indicate when a given factor becomes active. All neurons were ordered according to highest activity in pattern #4, highlighting the sequential activity pattern that is evoked by stimuli at multiple times.

Expression Data

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Acknowledgments

This image is the copyrighted work of the attributed author or publisher, and ZFIN has permission only to display this image to its users. Additional permissions should be obtained from the applicable author or publisher of the image. Full text @ Nat. Neurosci.