Auditory Network Persistence Data for Awake and Sleeping Mice

Barak Hadad's dataset contains 938.9 MB of processed neural data files required to reproduce results from the study "Auditory network persistence of stimulus representation in awake and naturally sleeping mice." It includes pre-processed neural activity, decoding outputs, and statistical summaries, last updated on April 27, 2026. Raw electrophysiological recordings are not included but are available upon request.

Use Cases

• Reproduce neural decoding analyses based on the pre-processed neural activity and decoding outputs.
• Study auditory stimulus representation persistence based on the statistical summaries.
• Compare neural network activity between awake and naturally sleeping states based on the processed data.
• Validate computational models of sensory processing during sleep based on the provided neural activity data.

Strengths

• Data is directly linked to a specific, peer-reviewed research study, ensuring clear provenance.
• The 938.9 MB size suggests a medium-scale dataset with substantial processed neural recordings.
• Files are provided in a processed state, facilitating direct analysis and reproduction of reported figures.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Raw electrophysiological recordings are not included, which may limit certain types of re-analysis.
• Row count is unknown, which may limit suitability assessment for some modeling tasks.

Provenance

Source

Barak Hadad

Collection Method

Processed from electrophysiological recordings; raw data available upon request.

Time Range

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Freshness

Last updated 2026-04 27 10:25:36; freshness should be verified.

Geography

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