AllenNeuralDynamics / AllenNeuralDynamics/aind-dynamic-foraging-bfm-dispatcher
Study 09 data: add two rat transfer cohorts
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- Python
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Descrição
Child of #134. Draft implementation: #139.
## Stage-A outcome
- [x] Alsiö cohorts II–V: complete 95-rat, 2,334-session cohort admitted as v1.
- [x] Alsiö cohort VI PRL: skipped because chronological real-session identity cannot be reconstructed without a new split rule.
- [x] Miller: complete 20-rat, 1,857-session cohort admitted as v1.
- [x] Release identities, CC BY 4.0 terms, checksums, exact inclusion audits, and source metadata are committed.
- [x] Canonical adapters preserve subject/session/trial and available cohort/task metadata.
- [x] Deterministic split manifests and regression tests pass.
- [x] Common-Q and author-model feasibility are documented; no new author model is implemented in Stage A.
- [x] Both D=614 seed-0 GPU smokes passed.
- [x] Full GRU matrices and common-Q fits completed and were frozen with exact ordered held-out trial-key parity.
- [x] Results and representative sessions are included in the Stage-A decision report.
The data-ingestion and Stage-A execution scope is complete and in review.
Guia de contribuição
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Direção de pesquisa
The issue names no files, tests, or entry points. Start by reviewing child issue #134 and draft implementation #139, then use the Stage-A decision report, regression-test results, and exact inclusion audits to determine what remains; the stated data-ingestion and execution scope is already complete and in review.
Escrita pelo modelo de indexação a partir do texto da issue.
Avaliação
- Stack de tecnologia
- python
- Domínio
- data-engineering, machine-learning
- Tipo de issue
- Funcionalidade
- Dificuldade
- 5/5
- Tempo estimado
- Mais de uma semana
- Status de atividade
- Estagnada
- Clareza
- Precisa de esclarecimento
- Facilidade para iniciantes
- 20/100