Data-driven Neuroscience: Enabling Breakthroughs Via Innovative Data Management
Summary: Data-driven neuroscience: integrates FLAT, SCOUT, and TOUCH to manage subcellular brain-model data. Demonstrates end-to-end gains: FLAT for efficient spatial queries, SCOUT for rapid exploration, and TOUCH for scalable data discovery, enabling bigger, more detailed simulations. (summarized by gpt-5-nano on Feb 09 2026)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 24 | The R+-Tree: A Dynamic Index For Multi-Dimensional Objects | 1987 | VLDB | 0.00083378538 |
| 4,780 | TOUCH: In-Memory Spatial Join by Hierarchical Data-Oriented Partitioning | 2013 | SIGMOD | 5.9263494e-05 |
| 6,064 | SCOUT: Prefetching for Latent Structure Following Queries | 2012 | VLDB | 5.2299134e-05 |
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