The Zenodo archive is 8.1 GB. It is acceptable to download locally for MVP development under ignored `data/raw/`, while normal validation and tests should still run without the archive. Real ingestion operates on a local `.mat` file extracted from the archive.
Dataset
Brody Lab Poisson Clicks Task Dataset Rats 2009 to 2024 Parsed
Parsed behavioral data from 515 male Long-Evans rats trained in the Brody Lab at Princeton University on the Poisson Clicks auditory evidence-accumulation task. The archive contains one MATLAB file per rat with parsed non-violation, non-frozen trials and associated stimulus metadata.
Access notes
Data formats
- MATLAB .mat files
- derived canonical trial tables to be generated
Expected trial-table mapping
Canonical fields the harmonizer expects this dataset to populate.
| Canonical field | Source mapping |
|---|---|
| choice | gr mapped as 0 left, 1 right. |
| correct | hh mapped as 0 incorrect, 1 correct. |
| evidence_strength | Absolute value of nR minus nL. |
| feedback | hh mapped to reward/error for the parsed behavioral outcome. |
| prior_context | ga represented as a gamma context where available. |
| response_time | Not available in the parsed schema described on Zenodo. |
| session_id | Parsed rat-level file identifier until day/session breaks are available. |
| stimulus_value | nR minus nL, the signed right-minus-left click count difference. |
| subject_id | Rat identifier inferred from the source `.mat` filename. |
| task_variables | left/right click counts, click-count difference, stimulus duration, gamma, reward gamma, task type, and left/right click-time vectors from bt. |
| trial_index | Trial index within the parsed rat-level vector. |
Caveats
- The parsed archive does not include all trials, violation trials, or trials longer than 1 s.
- Day/session breaks are not identified in the parsed release.
- The full archive is large and should remain under ignored local raw-data storage or external storage.
- The archive uses ZIP64/Deflate64 compression; macOS `unzip` and Python `zipfile` may not extract it.
Papers
Findings
Curves attached to this dataset on shared signed-evidence axes.
- Brunton BW, Botvinick MM, Brody CD. Rats and humans can optimally accumulate evidence for decision-making. Science, 2013, 340(6128):95-98. · psychometric processed-trial
- Brunton BW, Botvinick MM, Brody CD. Rats and humans can optimally accumulate evidence for decision-making. Science, 2013, 340(6128):95-98. · psychometric processed-trial
- Brunton BW, Botvinick MM, Brody CD. Rats and humans can optimally accumulate evidence for decision-making. Science, 2013, 340(6128):95-98. · psychometric processed-trial
- Brunton BW, Botvinick MM, Brody CD. Rats and humans can optimally accumulate evidence for decision-making. Science, 2013, 340(6128):95-98. · psychometric processed-trial
- Brunton BW, Botvinick MM, Brody CD. Rats and humans can optimally accumulate evidence for decision-making. Science, 2013, 340(6128):95-98. · psychometric processed-trial
See all findings overlaid on shared axes.