Sparse Space-Time Deconvolution for Calcium Image Analysis

2014-12-01 · NeurIPS 2014 12 · Ferran Diego Andilla, Fred A. Hamprecht

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.

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Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution

2016-10-20 · Abbas Kazemipour, Ji Liu, Patrick Kanold, Min Wu 외

In this paper, we consider linear state-space models with compressible innovations and convergent transition matrices in order to model spatiotemporally sparse transient events. We perform parameter and state estimation …

compressed sensing State Estimation State Space Models

Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions

2013-12-01 · NeurIPS 2013 12 · Eftychios A. Pnevmatikakis, Liam Paninski

We propose a compressed sensing (CS) calcium imaging framework for monitoring large neuronal populations, where we image randomized projections of the spatial calcium concentration at each timestep, instead of measuring …

compressed sensing Time Series Time Series Analysis

Fast Online Deconvolution of Calcium Imaging Data

2017-03-16

Fluorescent calcium indicators are a popular means for observing the spiking activity of large neuronal populations, but extracting the activity of each neuron from raw fluorescence calcium imaging data is a nontrivial p…

Time Series Time Series Analysis

Fast Active Set Methods for Online Spike Inference from Calcium Imaging

2016-12-01 · NeurIPS 2016 12 · Johannes Friedrich, Liam Paninski

Fluorescent calcium indicators are a popular means for observing the spiking activity of large neuronal populations. Unfortunately, extracting the spike train of each neuron from raw fluorescence calcium imaging data is …

Time Series Time Series Analysis

OnACID: Online Analysis of Calcium Imaging Data in Real Time

2017-12-01 · NeurIPS 2017 12 · Andrea Giovannucci, Johannes Friedrich, Matt Kaufman, Anne Churchland 외

Optical imaging methods using calcium indicators are critical for monitoring the activity of large neuronal populations in vivo. Imaging experiments typically generate a large amount of data that needs to be processed to…

Denoising Dictionary Learning