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An optical flow gradient algorithm was applied to spontaneously forming net- works of neurons and glia in culture imaged by fluorescence optical microscopy in order to map functional calcium signaling with single pixel resolution. Optical…

Computational Engineering, Finance, and Science · Computer Science 2010-01-22 Marius Buibas , Diana Yu , Krystal Nizar , Gabriel A. Silva

The presynaptic free calcium dynamics of neurons due to various stimulation protocols is investigated in a mathematical model. The model includes calcium influx through voltage-dependent calcium channels, calcium buffering by endogenous and…

Biological Physics · Physics 2007-05-23 Frido Erler , Michael Meyer-Hermann , Gerhard Soff

A fundamental problem in neuroscience is understanding how a network's properties dictate its function. Connectomics provides one avenue to predict nervous system function. To test this explicitly, we systematically measure signal…

Neurons and Cognition · Quantitative Biology 2023-11-09 Francesco Randi , Anuj K. Sharma , Sophie Dvali , Andrew M. Leifer

We develop a stochastic whole-brain and body simulator of the nematode roundworm Caenorhabditis elegans (C. elegans) and show that it is sufficiently regularizing to allow imputation of latent membrane potentials from partial calcium…

Neurons and Cognition · Quantitative Biology 2019-07-26 Andrew Warrington , Arthur Spencer , Frank Wood

In large neuronal networks, it is believed that functions emerge through the collective behavior of many interconnected neurons. Recently, the development of experimental techniques that allow simultaneous recording of calcium concentration…

Biological Physics · Physics 2019-06-05 Xiaowen Chen , Francesco Randi , Andrew M. Leifer , William Bialek

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…

Neurons and Cognition · Quantitative Biology 2017-03-17 Johannes Friedrich , Pengcheng Zhou , Liam Paninski

The nematode Caenorhabditis elegans (C. elegans) is used as a model organism to better understand developmental biology and neurobiology. C. elegans features an invariant cell lineage, which has been catalogued and observed using…

Computer Vision and Pattern Recognition · Computer Science 2022-08-03 Andrew Lauziere , Ryan Christensen , Hari Shroff

We analyse the neural dynamics and its relation with the emergent behaviour of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot…

Neurons and Cognition · Quantitative Biology 2020-11-19 Carlos E. Valencia Urbina , Sergio A. Cannas , Pablo M. Gleiser

In this paper we explore the use of electrical biosignals measured on scalp and corresponding to mental relaxation and concentration tasks in order to control an object in a video game. To evaluate the requirements of such a system in terms…

Other Computer Science · Computer Science 2011-11-23 Laurent George , Fabien Lotte , Raquel Viciana Abad , Anatole Lécuyer

Recent whole brain imaging experiments on $\textit{C. elegans}$ has revealed that the neural population dynamics encode motor commands and stereotyped transitions between behaviors on low dimensional manifolds. Efforts to characterize the…

Quantitative Methods · Quantitative Biology 2020-04-15 Charles Fieseler , Manuel Zimmer , J. Nathan Kutz

Understanding how cortical activity represents natural whole-body behaviors in primates remains challenging. Limited by the diversity of movements and inaccessibility of large-scale neural representation of whole-body kinematics, previous…

Machine Learning · Computer Science 2026-05-29 Jieshi He , Puzhe Li , Yanan Sui , Mu-ming Poo

Calcium imaging has emerged as a workhorse method in neuroscience to investigate patterns of neuronal activity. Instrumentation to acquire calcium imaging movies has rapidly progressed and has become standard across labs. Still, algorithms…

Quantitative Methods · Quantitative Biology 2019-06-03 Quico Spaen , Dorit S. Hochbaum , Roberto Asín-Achá

Decoding behavior, such as movement, from multiscale brain networks remains a central objective in neuroscience. Over the past decades, artificial intelligence and machine learning have played an increasingly significant role in elucidating…

Neurons and Cognition · Quantitative Biology 2025-04-24 Ghazal Mirzaee , Jonathan Chang , Shahrzad Latifi

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…

Machine Learning · Statistics 2017-11-07 Artur Speiser , Jinyao Yan , Evan Archer , Lars Buesing , Srinivas C. Turaga , Jakob H. Macke

In vivo calcium imaging through microscopes has enabled deep brain imaging of previously inaccessible neuronal populations within the brains of freely moving subjects. However, microendoscopic data suffer from high levels of background…

Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination behavior is a…

Computer Vision and Pattern Recognition · Computer Science 2021-01-27 Safa Ayadi , Ahmed ben said , Rateb Jabbar , Chafik Aloulou , Achraf Chabbouh , Ahmed Ben Achballah

We demonstrate a spiking neural network for navigation motivated by the chemotaxis network of Caenorhabditis elegans. Our network uses information regarding temporal gradients in the tracking variable's concentration to make navigational…

Neural and Evolutionary Computing · Computer Science 2014-10-30 Shibani Santurkar , Bipin Rajendran

To establish the relationship between locomotory behavior and dynamics of neural circuits in the nematode C. elegans we combined molecular and theoretical approaches. In particular, we quantitatively analyzed the motion of C. elegans with…

Neurons and Cognition · Quantitative Biology 2008-06-10 Jan Karbowski , Gary Schindelman , Chris J. Cronin , Adeline Seah , Paul W. Sternberg

Recent technological advances have enabled the recording of neurons in intact circuits with a high spatial and temporal resolution, creating the need for modeling with the same precision. In particular, the development of ultra-fast…

Neurons and Cognition · Quantitative Biology 2023-11-30 Claire Guerrier , Tristan Dellazizzo Toth , Nicolas Galtier , Kurt Haas

Large-scale neuronal activity recordings with fluorescent calcium indicators are increasingly common, yielding high-resolution 2D or 3D videos. Traditional analysis pipelines reduce this data to 1D traces by segmenting regions of interest,…