资源分类
》 资源 》论文》Sparse space-time deconvolution for Calcium image analysis

Sparse space-time deconvolution for Calcium image analysis

2020-01-17 | |  63 |   58 |   0

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 preor postprocessing. Experiments on real and synthetic data demonstrate the viability of the proposed method.

上一篇：On the Number of Linear Regions of Deep Neural Networks

下一篇：A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process

用户评价
全部评价

热门资源

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...