Sparse Space-Time Deconvolution for Calcium Image Analysis
Abstract
We describe a unified formulation and algorithm to find an extremely sparse representation for Calcium image sequences in terms of cell locations, cell shapes, spike timings and impulse responses. Solution of a single optimization problem yields cell segmentations and activity estimates that are on par with the state of the art, without the need for heuristic pre- or postprocessing. Experiments on real and synthetic data demonstrate the viability of the proposed method.
Cite
Text
Andilla and Hamprecht. "Sparse Space-Time Deconvolution for Calcium Image Analysis." Neural Information Processing Systems, 2014.Markdown
[Andilla and Hamprecht. "Sparse Space-Time Deconvolution for Calcium Image Analysis." Neural Information Processing Systems, 2014.](https://mlanthology.org/neurips/2014/andilla2014neurips-sparse/)BibTeX
@inproceedings{andilla2014neurips-sparse,
title = {{Sparse Space-Time Deconvolution for Calcium Image Analysis}},
author = {Andilla, Ferran Diego and Hamprecht, Fred A.},
booktitle = {Neural Information Processing Systems},
year = {2014},
pages = {64-72},
url = {https://mlanthology.org/neurips/2014/andilla2014neurips-sparse/}
}