281 citations · 819 across the 24 of their papers we have counts for
4 papers · 1 filter
Discovering Compressing Serial Episodes from Event Sequences
A. Ibrahim, Shivakumar Sastry, P. S. Sastry
Most pattern mining methods output a very large number of frequent patterns and isolating a small but relevant subset is a challenging problem of current interest in frequent patte…
Inferring Neuronal Network Connectivity from Spike Data: A Temporal Datamining Approach
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan
Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology and imaging…
Discovering Patterns in Multi-neuronal Spike Trains using the Frequent Episode Method
K. P. Unnikrishnan, Debprakash Patnaik, P. S. Sastry
Discovering the 'Neural Code' from multi-neuronal spike trains is an important task in neuroscience. For such an analysis, it is important to unearth interesting regularities in th…
Inferring Neuronal Network Connectivity using Time-constrained Episodes
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishnan
Discovering frequent episodes in event sequences is an interesting data mining task. In this paper, we argue that this framework is very effective for analyzing multi-neuronal spik…