figshare
Browse
ARCHIVE
Bugeon et al 2022 v2.zip (902.62 MB)
DATASET
DatasetTypesV2.xlsx (11.64 kB)
1/0
2 files

A transcriptomic axis predicts state modulation of cortical interneurons

Version 2 2022-10-31, 14:35
Version 1 2022-04-03, 18:55
dataset
posted on 2022-10-31, 14:35 authored by Stephane BugeonStephane Bugeon, Matteo CarandiniMatteo Carandini, Kenneth HarrisKenneth Harris

This data release contains the in vivo neural recordings (using two-photon calcium imaging) and post-hoc transcriptomic information for >1000 inhibitory cells in mouse primary visual cortex. This data consists in 4 animals and 17 recording sessions, during spontaneous activity and presentation of visual stimuli (drifting gratings, natural images).


DatasetTypes.xlsx provides useful information about the dataset.


2022-10-31: The XY position given by neuron.stackPos was wrong, neuron.stackPosCorrected now gives the correct alignment between sessions.


If you use these data in a paper, please cite the original research paper, as well as this dataset using the figshare doi.

Funding

This work was supported by the Wellcome Trust (108726, 205093, 090843), the European Union’s Marie Skłodowska-Curie program (835489), the Royal Society (NIF\R1\180184) the Chan-Zuckerberg initiative (2018-182811), and the Gatsby Charitable Foundation (GAT3361).

History

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC