Simultaneous Neural Recordings from Mouse Visual Cortical Areas V1 and LM

Mitra Javadzadeh's dataset contains processed simultaneous multi-area electrophysiological recordings from the mouse visual cortex. It includes data from N=7 mice and is associated with a 2024 bioRxiv preprint on dynamic consensus-building between cortical areas. The data is stored in NPY format and totals 959.9 MB.

Use Cases

• Fitting latent variable models based on simultaneous recordings from two visual areas.
• Analyzing cross-area neural dynamics based on multi-area electrophysiological data.
• Testing theories of cortical communication based on long-range connections mentioned in the associated paper.
• Benchmarking algorithms like iLQR-VAE for neural data analysis.

Strengths

• Data is explicitly linked to a peer-reviewed preprint (Javadzadeh et al., 2024, bioRxiv).
• Contains processed data from simultaneous recordings in two distinct cortical areas (V1 and LM).
• Includes data from N=7 biological replicates (mice).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The description is focused on a specific modeling use case, which may limit context for other applications.

Provenance

Source

figshare, author Mitra Javadzadeh

Collection Method

Processed data from simultaneous multi-area electrophysiological recordings.

Freshness

Last updated 2026-05-17 23:43:17