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Calcium imaging has revolutionized systems neuroscience, providing the ability to image large neural populations with single-cell resolution. The resulting datasets are quite large, which has presented a barrier to routine open sharing of…

We present a structured matrix factorization approach to analyzing calcium imaging recordings of large neuronal ensembles. Our goal is to simultaneously identify the locations of the neurons, demix spatially overlapping components, and…

Miniscope calcium imaging is increasingly being used to monitor large populations of neuronal activities in freely behaving animals. However, due to the high background and low signal-to-noise ratio of the single-photon based imaging used…

神经元与认知 · 定量生物学 2017-04-05 Jinghao Lu , Chunyuan Li , Fan Wang

Calcium imaging for observing spiking activity from large populations of neurons are quickly gaining popularity. While the raw data are fluorescence movies, the underlying spike trains are of interest. This work presents a fast non-negative…

Neurons encode information about the environment through their activity. As animals explore the environment, neurons rapidly acquire selectivity for distinct features of the external world; characterizing how these selectivity patterns…

Confocal and multi-photon microscopy are widely used for in-vivo fluorescence imaging of biological tissues such as the brain, offering non-invasive access up to ~1 mm depth without major loss in performance. A recently-developed…

Calcium imaging data promises to transform the field of neuroscience by making it possible to record from large populations of neurons simultaneously. However, determining the exact moment in time at which a neuron spikes, from a calcium…

统计方法学 · 统计学 2018-02-22 Sean Jewell , Toby Dylan Hocking , Paul Fearnhead , Daniela Witten

Recently, fluorescence-based optical techniques have emerged as a powerful tool to probe information in the mammalian brain. However, tissue heterogeneities prevent clear imaging of deep neuron bodies due to light scattering. While several…

Calcium imaging is one of the most important tools in neurophysiology as it enables the observation of neuronal activity for hundreds of cells in parallel and at single-cell resolution. In order to use the data gained with calcium imaging,…

神经元与认知 · 定量生物学 2020-04-07 Elke Kirschbaum , Alberto Bailoni , Fred A. Hamprecht

Calcium imaging permits optical measurement of neural activity. Since intracellular calcium concentration is an indirect measurement of neural activity, computational tools are necessary to infer the true underlying spiking activity from…

机器学习 · 统计学 2017-11-07 Artur Speiser , Jinyao Yan , Evan Archer , Lars Buesing , Srinivas C. Turaga , Jakob H. Macke

A major open challenge in neuroscience is the ability to measure and perturb neural activity in vivo from well-defined neural sub-populations at cellular resolution anywhere in the brain. However, limitations posed by scattering and…

生物物理 · 物理学 2017-11-10 Shay Ohayon , Antonio Miguel Caravaca-Aguirre , Rafael Piestun , James J. DiCarlo

Miniaturized calcium imaging is an emerging neural recording technique that has been widely used for monitoring neural activity on a large scale at a specific brain region of rats or mice. Most existing calcium-image analysis pipelines…

图像与视频处理 · 电气工程与系统科学 2023-04-18 Zhe Chen , Garrett J. Blair , Chengdi Cao , Jim Zhou , Daniel Aharoni , Peyman Golshani , Hugh T. Blair , Jason Cong

By their very nature microscopy images of cells and tissues consist of a limited number of object types or components. In contrast to most natural scenes, the composition is known a priori. Decomposing biological images into semantically…

计算机视觉与模式识别 · 计算机科学 2019-09-04 Avelino Javer , Jens Rittscher

Calcium imaging has become a fundamental neural imaging technique, aiming to recover the individual activity of hundreds of neurons in a cortical region. Current methods (mostly matrix factorization) are aimed at detecting neurons in the…

应用统计 · 统计学 2019-02-11 Gal Mishne , Adam S. Charles

Removal or cancellation of noise has wide-spread applications for imaging and acoustics. In every-day-life applications, denoising may even include generative aspects, which are unfaithful to the ground truth. For scientific use, however,…

In this paper, we introduce a novel unsupervised video denoising deep learning approach that can help to mitigate data scarcity issues and shows robustness against different noise patterns, enhancing its broad applicability. Our method…

计算机视觉与模式识别 · 计算机科学 2023-07-04 Mary Damilola Aiyetigbo , Dineshchandar Ravichandran , Reda Chalhoub , Peter Kalivas , Nianyi Li

Deducing the structure of neural circuits is one of the central problems of modern neuroscience. Recently-introduced calcium fluorescent imaging methods permit experimentalists to observe network activity in large populations of neurons,…

应用统计 · 统计学 2011-07-22 Yuriy Mishchencko , Joshua T. Vogelstein , Liam Paninski

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 problem. We present a…

神经元与认知 · 定量生物学 2017-03-17 Johannes Friedrich , Pengcheng Zhou , Liam Paninski

Calcium imaging allows for the parallel measurement of large neuronal populations in a spatially resolved and minimally invasive manner, and has become a gold-standard for neuronal functionality. While deep generative models have been…

神经元与认知 · 定量生物学 2025-10-02 Berta Ros , Mireia Olives-Verger , Caterina Fuses , Josep M Canals , Jordi Soriano , Jordi Abante

Understanding how neurons coordinate their activity is a fundamental question in neuroscience, with implications for learning, memory, and neurological disorders. Calcium imaging has emerged as a powerful method to observe large-scale…

统计方法学 · 统计学 2026-03-03 Laura D'Angelo , Francesco Denti , Antonio Canale , Michele Guindani
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