Evaluating data structures for range queries in brain simulations
Our brain and nervous system is a vital organ to us, since it is from there our thoughts, personalities, and other mental capacities originate. Within this field of neuroscience a common method of study is to build and run large scale brain simulations where up to hundred thousand neurons are used t...
Main Authors: | Norelius, Jenny, Tacchi, Antonello |
---|---|
Format: | Others |
Language: | English |
Published: |
KTH, Skolan för elektroteknik och datavetenskap (EECS)
2018
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229767 |
Similar Items
-
A Line Graph-Based Continuous Range Query Method for Moving Objects in Networks
by: Hengcai Zhang, et al.
Published: (2016-12-01) -
An LSM-Tree Index for Spatial Data
by: Chen, H., et al.
Published: (2022) -
Load-balanced Range Query Workload Partitioning for Compressed Spatial Hierarchical Bitmap (cSHB) Indexes
Published: (2018) -
Quadrant-Based Minimum Bounding Rectangle-Tree Indexing Method for Similarity Queries over Big Spatial Data in HBase
by: Bumjoon Jo, et al.
Published: (2018-09-01) -
Optimizing Spatial Databases
by: Anda VELICANU, et al.
Published: (2010-01-01)