most citedTowards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

4 citations · 6 across the 3 of their papers we have counts for

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cs.DC2009

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Debprakash Patnaik, Sean P. Ponce, Yong Cao +1

Temporal data mining algorithms are becoming increasingly important in many application domains including computational neuroscience, especially the analysis of spike train data. W…

cs.DC2009★ 4 cited

Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors

Yong Cao, Debprakash Patnaik, Sean Ponce +4

Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic, perspectives into brain function. Mining event streams…