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Despite the relative simplicity of C. elegans, its locomotion machinery is not yet well understood. We focus on the generation of dorsoventral body bends. While central pattern generators are commonly involved in animal locomotion, their…

Neurons and Cognition · Quantitative Biology 2017-11-08 Erick Olivares , Eduardo J. Izquierdo , Randall D. Beer

Cattle lameness is a prevalent health problem in livestock farming, often resulting from hoof injuries or infections, and severely impacts animal welfare and productivity. Early and accurate detection is critical for minimizing economic…

Computer Vision and Pattern Recognition · Computer Science 2025-09-19 Md Fahimuzzman Sohan , Raid Alzubi , Hadeel Alzoubi , Eid Albalawi , A. H. Abdul Hafez

Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further…

Computer Vision and Pattern Recognition · Computer Science 2018-08-24 Alexander Mathis , Pranav Mamidanna , Taiga Abe , Kevin M. Cury , Venkatesh N. Murthy , Mackenzie W. Mathis , Matthias Bethge

Limbless animals such as snakes, limbless lizards, worms, eels, and lampreys move their slender, long bodies in three dimensions to traverse diverse environments. Accurately quantifying their continuous body's 3-D shape and motion is…

Biological Physics · Physics 2025-10-14 Qiyuan Fu , Thomas W. Mitchel , Jin Seob Kim , Gregory S. Chirikjian , Chen Li

Recent work has demonstrated that large-scale, multi-animal models are powerful tools for characterizing the relationship between neural activity and behavior. Current large-scale approaches, however, focus exclusively on either predicting…

Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions such as stalled blood flow in cerebral capillaries are associated with cognitive decline and pathogenesis in Alzheimer's disease. Recent advances in…

Image and Video Processing · Electrical Eng. & Systems 2022-02-15 Roman Solovyev , Alexandr A. Kalinin , Tatiana Gabruseva

Humans are able to categorize images very efficiently, in particular to detect the presence of an animal very quickly. Recently, deep learning algorithms based on convolutional neural networks (CNNs) have achieved higher than human accuracy…

Neurons and Cognition · Quantitative Biology 2023-06-01 Jean-Nicolas Jérémie , Laurent U Perrinet

Background: Wide-field calcium imaging (WFCI) with genetically encoded calcium indicators allows for spatiotemporal recordings of neuronal activity in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Xiaohui Zhang , Eric C. Landsness , Hanyang Miao , Wei Chen , Michelle Tang , Lindsey M. Brier , Joseph P. Culver , Jin-Moo Lee , Mark A. Anastasio

For many people suffering from motor disabilities, assistive devices controlled with only brain activity are the only way to interact with their environment. Natural tasks often require different kinds of interactions, involving different…

Human-Computer Interaction · Computer Science 2018-08-01 Pablo Ortega , Cedric Colas , Aldo Faisal

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…

Quantitative Methods · Quantitative Biology 2011-02-21 Joshua T. Vogelstein , Adam M. Packer , Tim A. Machado , Tanya Sippy , Baktash Babadi , Rafael Yuste , Liam Paninski

Activity recognition computer vision algorithms can be used to detect the presence of autism-related behaviors, including what are termed "restricted and repetitive behaviors", or stimming, by diagnostic instruments. The limited data that…

Computer Vision and Pattern Recognition · Computer Science 2021-01-12 Peter Washington , Aaron Kline , Onur Cezmi Mutlu , Emilie Leblanc , Cathy Hou , Nate Stockham , Kelley Paskov , Brianna Chrisman , Dennis P. Wall

There have been different reports of developing Brain-Computer Interface (BCI) platforms to investigate the noninvasive electroencephalography (EEG) signals associated with plan-to-grasp tasks in humans. However, these reports were unable…

Signal Processing · Electrical Eng. & Systems 2024-02-07 Anna Cetera , Ali Rabiee , Sima Ghafoori , Reza Abiri

Caenorhabditis elegans, a free-living soil nematode, propels itself by producing undulatory body motion and displays a rich variety of body shapes and trajectories during its locomotion in complex environments. Here we show that the complex…

Animals locomote for various reasons: to search for food, find suitable habitat, pursue prey, escape from predators, or seek a mate. The grand scale of biodiversity contributes to the great locomotory design and mode diversity. Various…

Computer Vision and Pattern Recognition · Computer Science 2021-05-27 Soo Min Kang , Richard P. Wildes

Unprecedented visual details of biological structures are being revealed by subcellular-resolution whole-brain 3D microscopy data, enabled by recent advances in intact tissue processing and light-sheet fluorescence microscopy (LSFM). These…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Minyoung E. Kim , Dae Hee Yun , Aditi V. Patel , Madeline Hon , Webster Guan , Taegeon Lee , Brian Nguyen

Ultrasound Localization Microscopy (ULM) can map microvessels at a resolution of a few micrometers (\mu m). Transcranial ULM remains challenging in presence of aberrations caused by the skull, which lead to localization errors. Herein, we…

Image and Video Processing · Electrical Eng. & Systems 2023-09-20 Paul Xing , Jonathan Porée , Brice Rauby , Antoine Malescot , Éric Martineau , Vincent Perrot , Ravi L. Rungta , Jean Provost

Wide-field calcium imaging (WFCI) that records neural calcium dynamics allows for identification of functional brain networks (FBNs) in mice that express genetically encoded calcium indicators. Estimating FBNs from WFCI data is commonly…

Image and Video Processing · Electrical Eng. & Systems 2024-05-31 Xiaohui Zhang , Eric C Landsness , Lindsey M Brier , Wei Chen , Michelle J. Tang , Hanyang Miao , Jin-Moo Lee , Mark A. Anastasio , Joseph P. Culver

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…

Image and Video Processing · Electrical Eng. & Systems 2023-04-18 Zhe Chen , Garrett J. Blair , Chengdi Cao , Jim Zhou , Daniel Aharoni , Peyman Golshani , Hugh T. Blair , Jason Cong

Intracellular processes triggered by neural activity include changes in ionic concentrations, protein release, and synaptic vesicle cycling. These processes play significant roles in neurological disorders. The beneficial effects of brain…

Neurons and Cognition · Quantitative Biology 2024-09-26 Saeed Omidi , Gianluca Fabi , Xiaopeng Wang , James C. M. Hwang , Yevgeny Berdichevsky

Artifacts in the electroencephalogram (EEG) degrade signal quality and impact the analysis of brain activity. Current methods for detecting artifacts in sleep EEG rely on simple threshold-based algorithms that require manual intervention,…

Signal Processing · Electrical Eng. & Systems 2025-04-25 Khrystyna Semkiv , Jia Zhang , Maria Laura Ferster , Walter Karlen