Infrequent strong connections constrain connectomic predictions of neuronal function (3/3)
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How does circuit wiring constrain neural computation? Recent work has leveraged connectomic datasets to predict the functions of cells and circuits in the brains of multiple species. However, many of these hypotheses have not been compared with physiological measurements, obscuring the limits of connectome-based functional predictions. To explore these limits, we characterized the visual responses of 43 cell types in the fruit fly and quantitatively compared them to connectomic predictions. We show that these predictions are accurate for some response properties, such as orientation tuning, but are surprisingly poor for other properties, such as receptive field size. Importantly, strong synaptic inputs are more functionally homogeneous than expected by chance and exert a disproportionately large influence on postsynaptic responses. Finally, we quantitatively define the subset of connections that best describe the functional differences between cell types. Our results establish a powerfu..., , # Infrequent strong connections constrain connectomic predictions of neuronal function (3/3)
This is a README file for the data deposition associated with the manuscript \"Infrequent strong connections constrain connectomic predictions of neuronal function\" by Timothy A. Currier and Thomas R. Clandinin (Cell, 2025). Any questions or comments can be directed to Tim ([currier@stanford.edu](mailto:currier@stanford.edu))
## DOIs
The raw imaging data have been split over three Dryad depositions:
\- All files except ImagingData1 [https://doi.org/10.5061/dryad.pg4f4qs1j](https://doi.org/10.5061/dryad.pg4f4qs1j)
\- ImagingData1A [https://doi.org/10.5061/dryad.bnzs7h4ns](https://doi.org/10.5061/dryad.bnzs7h4ns)
\- (THIS DATASET) ImagingData1B [https://doi.org/10.5061/dryad.kh18932k1](https://doi.org/10.5061/dryad.kh18932k1)
## LOOKING FOR STRFS?
If you are simply looking for STRFs for each recorded cell/cell type:
\- Data S1 and Data S2 in the manuscript
\- Download `ALL_RESPONSES.npy` here
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创建时间：
2025-06-11
