Research Project
Grant-in-Aid for Young Scientists (B)
Calcium imaging has become popular as data acquisition technique from neural circuits and the scale of imaging data is rapidly increasing. In this paper, we present an automatic cell sorting algorithm which detects cell positions and spike timings simultaneously from large scale calcium imaging data. Our algorithm is based on a simple probabilistic model with random variables for spatial and temporal activities of each cell. The model also contains spatial and temporal baseline as random variables and these variables can be effectively inferred by iterative quadratic programming problems with few control parameters for sparseness. Present inference procedure can detect separately spiking activities from from spatially overlapped neurons which activities contains cross-talk components. Faster implementation of the approach have been also developed by tuning of numerical solver routine using the problem specific characteristic.
All 2015 2014
All Journal Article (1 results) (of which Peer Reviewed: 1 results) Presentation (4 results) (of which Int'l Joint Research: 2 results, Invited: 1 results)
European Journal of Neuroscience
Volume: 39 Issue: 11 Pages: 1943-1950
10.1111/ejn.12614
