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Recent efforts in neuroscience research seek to obtain detailed anatomical neuronal wiring maps as well as information on how neurons in these networks engage in dynamic activities. Although the entire connectivity map of the nervous system…

Neurons and Cognition · Quantitative Biology 2014-06-09 Tina Schrödel , Robert Prevedel , Karin Aumayr , Manuel Zimmer , Alipasha Vaziri

Advanced volumetric imaging methods and genetically encoded activity indicators have permitted a comprehensive characterization of whole brain activity at single neuron resolution in \textit{Caenorhabditis elegans}. The constant motion and…

Quantitative Methods · Quantitative Biology 2022-10-12 Yuxiang Wu , Shang Wu , Xin Wang , Chengtian Lang , Quanshi Zhang , Quan Wen , Tianqi Xu

Understanding how networks of neurons process information is one of the key challenges in modern neuroscience. A necessary step to achieve this goal is to be able to observe the dynamics of large populations of neurons over a large area of…

Image and Video Processing · Electrical Eng. & Systems 2022-03-09 Pingfan Song , Herman Verinaz Jadan , Carmel L. Howe , Amanda J. Foust , Pier Luigi Dragotti

The ability to acquire large-scale recordings of neuronal activity in awake and unrestrained animals poses a major challenge for studying neural coding of animal behavior. We present a new instrument capable of recording intracellular…

Neurons and Cognition · Quantitative Biology 2015-12-31 Jeffrey P. Nguyen , Frederick B. Shipley , Ashley N. Linder , George S. Plummer , Joshua W. Shaevitz , Andrew M. Leifer

The mammalian brain is a densely interconnected network that consists of millions to billions of neurons. Decoding how information is represented and processed by this neural circuitry requires the ability to capture and manipulate the…

Biological Physics · Physics 2018-05-10 Siegfried Weisenburger , Alipasha Vaziri

A number of questions in systems biology such as understanding how dynamics of neuronal networks are related to brain function require the ability to capture the functional dynamics of large cellular populations at high speed. Recently,…

High-speed optical imaging of dynamic neuronal activity is essential yet challenging in neuroscience. While calcium imaging has been firmly established as a workhorse technique for monitoring neuronal activity, its limited temporal…

Fluorescence Microcopy Calcium Imaging is a fundamental tool to in-vivo record and analyze large scale neuronal activities simultaneously at a single cell resolution. Automatic and precise detection of behaviorally relevant neuron activity…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Ran Li , Pan Xiao , Kaushik Dutta , Youdong Guo

Advances in optical neuroimaging techniques now allow neural activity to be recorded with cellular resolution in awake and behaving animals. Brain motion in these recordings pose a unique challenge. The location of individual neurons must…

Neurons and Cognition · Quantitative Biology 2017-05-22 Jeffrey P. Nguyen , Ashley N. Linder , George S. Plummer , Joshua W. Shaevitz , Andrew M. Leifer

Determining neuronal identity in imaging data is an essential task in neuroscience, facilitating the comparison of neural activity across organisms. Cross-organism comparison, in turn, enables a wide variety of research including…

Neurons and Cognition · Quantitative Biology 2022-11-02 Arvind Seshan

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…

Biological Physics · Physics 2017-11-10 Shay Ohayon , Antonio Miguel Caravaca-Aguirre , Rafael Piestun , James J. DiCarlo

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…

Methodology · Statistics 2026-03-03 Laura D'Angelo , Francesco Denti , Antonio Canale , Michele Guindani

Three-dimensional (3D) fluorescence microscopy in general requires axial scanning to capture images of a sample at different planes. Here we demonstrate that a deep convolutional neural network can be trained to virtually refocus a 2D…

Computer Vision and Pattern Recognition · Computer Science 2019-11-05 Yichen Wu , Yair Rivenson , Hongda Wang , Yilin Luo , Eyal Ben-David , Laurent A. Bentolila , Christian Pritz , Aydogan Ozcan

A fundamental goal of systems neuroscience is to probe the dynamics of neural activity that drive behavior. Here we present an instrument to simultaneously manipulate neural activity via Channelrhodopsin, monitor neural response via GCaMP3,…

Neurons and Cognition · Quantitative Biology 2020-08-18 Frederick B. Shipley , Christopher M. Clark , Mark J. Alkema , Andrew M. Leifer

Calcium imaging is a technique for observing neuron activity as a series of images showing indicator fluorescence over time. Manually segmenting neurons is time-consuming, leading to research on automated calcium imaging segmentation…

Computer Vision and Pattern Recognition · Computer Science 2017-07-21 Aleksander Klibisz , Derek Rose , Matthew Eicholtz , Jay Blundon , Stanislav Zakharenko

Measurements of neuronal activity across brain areas are important for understanding the neural correlates of cognitive and motor processes like attention, decision-making, and action selection. However, techniques that allow cellular…

Most living organisms show highly conserved physiological changes following a 24-hour cycle which goes by the name of circadian rhythm. Among experimental models, the effects of light-dark cycle have been recently investigated in the larval…

One of the biggest challenges in biology is to understand how activity at the cellular level of neurons, as a result of their mutual interactions, leads to the observed behavior of an organism responding to a variety of environmental…

Neurons and Cognition · Quantitative Biology 2010-03-09 Raj Kumar Pan , Nivedita Chatterjee , Sitabhra Sinha

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

Defaults in vascular (VN) and neuronal networks of spinal cord are responsible for serious neurodegenerative pathologies. Because of inadequate investigation tools, the lacking knowledge of the complete fine structure of VN and neuronal…

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