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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Authors
- 1. Alexandros Stougiannis (Stockholm University)
- 2. Farhan Tauheed (EPFL)
- 3. Mirjana Pavlovic (EPFL)
- 4. Thomas Heinis (EPFL)
- 5. Anastasia Ailamaki (EPFL)
BibTeX Citation
@inproceedings{stougiannis_sigmod13,
title = {{Data-driven Neuroscience: Enabling Breakthroughs Via Innovative Data Management}},
author = {Stougiannis, Alexandros and Tauheed, Farhan and Pavlovic, Mirjana and Heinis, Thomas and Ailamaki, Anastasia},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2463677},
url = {https://dl.acm.org/doi/10.1145/2463676.2463677},
year = {2013}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 42 | The R+-Tree: A Dynamic Multi-Dimensional Index for Objects | 1987 | VLDB | 0.00046170812 |
| 4,844 | TOUCH: In-Memory Spatial Join by Hierarchical Data-Oriented Partitioning | 2013 | SIGMOD | 6.4826356e-05 |
| 5,679 | SCOUT: Prefetching for Latent Structure Following Queries | 2012 | VLDB | 6.1240538e-05 |
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