Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains.
Alper YegenogluPietro QuaglioEmiliano TorreSonja GrünDominik EndresPublished in: ICCS (2016)
Keyphrases
- massively parallel
- formal concept analysis
- spike trains
- robust detection
- spatio temporal
- concept lattice
- formal concepts
- parallel computing
- galois lattices
- fine grained
- feature detection
- spiking neurons
- association rules
- data mining techniques
- knowledge discovery
- learning algorithm
- data mining
- rough set theory
- scale space
- parallel machines
- np hard
- image sequences