dataset from paper : "Mapping the Visual cortex with Zebra Noise" : time aligned raw 2p me

58.2 GB of raw two-photon mesoscope recordings and a 30 Hz zebra noise stimulus movie, temporally aligned via timestamps, used in the paper 'Mapping the Visual cortex with Zebra Noise'. The dataset, authored by Sophie Skriabine and last updated on 2026-05-07, includes four repeats of the stimulus presentation.

Use Cases

• Analyze neural response dynamics to visual stimuli based on the time-aligned two-photon recordings and stimulus videos.
• Develop models for stimulus decoding based on the repeated zebra noise presentations and corresponding neural activity.
• Validate time-series alignment algorithms based on the provided two-photon and stimulus frame timestamps.
• Benchmark preprocessing pipelines for raw two-photon imaging data (.tif files) against a provided 'ready to use' aligned version.

Strengths

• Dataset size is 58.2 GB, indicating substantial raw imaging data.
• Includes temporally aligned data, which likely reduces preprocessing effort for time-series analysis.
• Contains four repeats of the same stimulus, allowing for trial-averaged analysis and reliability checks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Sophie Skriabine via figshare, associated with the paper 'Mapping the Visual cortex with Zebra Noise'.

Collection Method

Recorded via two-photon mesoscope during presentation of a visual zebra noise stimulus.

Freshness

Last updated 2026-05-07 11:26:05; freshness should be verified.