Our experiments probe valuation, risk, and learning in social and isolated environments. Rodents (i.e., Long-Evans rats), perform structured tasks (e.g., probabilistic choice, delay discounting) in instrumented arenas with high-resolution tracking and synchronized neural recordings.
Data streams include behavior, photometry/LEM signals, and environmental events, aligned via common clocks. Protocols emphasize counterbalancing, preregistered outcomes, and power analyses. Predictive and classification achieved via the multi-target K4-VRBFN framework.
Ethical overview: all animal procedures are reviewed under IACUC guidelines and minimize stress with refined housing, habituation, and humane endpoints.
- Species: Long Evans rat
- Signals: behavior, photometry, event markers
- Sampling: ms-precision timestamps
- Outputs: trial tables, signal matrices, metadata JSON
We share curated datasets, task definitions, and analysis notebooks to enable reuse.
- Access: request via email with a brief description of use; sensitive fields are redacted.
- Formats: CSV/Parquet for trials; NPZ/HDF5 for signals; JSON for metadata; README for provenance.
- Code: versioned notebooks with environment files and unit tests.
- Licensing: academic, with citation and non-commercial clauses when appropriate.
Reproducibility: each release includes exact package versions, seeds, and checksums.
We collaborate with labs in decision neuroscience, computational psychiatry, and quantitative biology. Roles include study design, analysis pipelines, and co-supervision.
- Opportunities: co-PI on grants, visiting students, and joint workshops.
- What we bring: rigorous quant methods, transparent data practices, and effective mentoring.
If you are exploring a cross-disciplinary project, we welcome a short concept note.
We adhere to IACUC/IRB frameworks, data minimization, and privacy-by-design. All studies follow refinement, reduction, and replacement principles where applicable. De-identified datasets undergo disclosure risk review before release, and human-related data are shared only under approved agreements.
Open science: preregistration when feasible, registered report submissions, and transparent reporting checklists.
See our site Privacy Policy for details on data stewardship.