22 papers · ranked by Valyu relevance
Allen Cheung, Olaf Sporns
The ability to determine one's location is fundamental to spatial navigation. Here, it is shown that localization is theoretically possible without the use of external cues, and without knowledge of initial position or orientation. With only error-prone self-motion estimates as input, a fully disoriented agent can, in…
Shang Li, Qunlun Shen, Shihua Zhang
Single-cell RNA-sequencing (scRNA-seq) techniques can measure gene expression at the single-cell resolution but lack spatial information. The spatial transcriptomics (ST) techniques simultaneously provide gene expression data and spatial information. However, the data quality on the spatial resolution or gene coverage…
Ingmar Kanitscheider, Ila Fiete
Navigation in natural environments is computationally difficult: Location errors from motion estimation noise accumulate over time, while landmarks can be spatially extended and often look alike, thus providing ambiguous data. The brain contains a number of spatially tuned neurons coding for various navigational…
Zhikui Chen, Feng Xia, Tao Huang, Fanyu Bu + 1 more
Many localization algorithms and systems have been developed by means of wireless sensor networks for both indoor and outdoor environments. To achieve higher localization accuracy, extra hardware equipments are utilized by most of the existing localization solutions, which increase the cost and considerably limit the…
Jeff Hawkins, Marcus Lewis, Mirko Klukas, Scott Purdy + 1 more
'Subutai Ahmad'] How the neocortex works is a mystery. In this paper we propose a novel framework for understanding its function. Grid cells are neurons in the entorhinal cortex that represent the location of an animal in its environment. Recent evidence suggests that grid cell-like neurons may also be present in the…
Jakob Schyga, Markus Knitt, Johannes Hinckeldeyn, Jochen Kreutzfeldt
Various applications leverage location data to increase transparency, efficiency, and safety in intralogistics. There are several properties of location data, such as the data's degrees of freedom, system latency, update rate, or accuracy. To select a suitable indoor localization system, corresponding data requirements…
Yankun Wang, Hong Fan, Ruizhi Chen, Huan Li + 3 more
'Wu Du'] Locality descriptions are generally communicated using reference objects and spatial relations that reflect human spatial cognition. However, uncertainty is inevitable in locality descriptions. Positioning locality with locality description, with a mapping mechanism between the qualitative and quantitative…
Pham Q. Viet, Daniel Romero
—Traditional localization algorithms based on features such as time difference of arrival are impaired by non-line of sight propagation, which negatively affects the consistency that they expect among distance estimates. Instead, fingerprinting localization is robust to these propagation conditions but requires the…
Yankun Wang, Hong Fan, Ruizhi Chen
Spatial relationships are crucial to spatial knowledge representation, such as positioning localities. However, minimal attention has been devoted to positioning localities indoors with locality description. Distance and direction relations are generally used when positioning localities, namely, translating descriptive…
Ian K. Gingerich, Hildreth Robert Frost
Spatial transcriptomics (ST) preserves tissue architecture while profiling gene expression, motivating methods that quantify whether annotated labels (such as cell types) preferentially co-occur in local neighborhoods. We introduce the Neighborhood Product Co-localization (NPC) score, a simple per-cell metric computed…
Ganesh Sapkota, Sanjay Madria
GPS-Denied Battlefield Environment Authors: ['Ganesh Sapkota' 'Sanjay Madria'] Abstract—Localization in a battlefield environment is increasingly challenging as GPS connectivity is often denied or unreliable, and physical deployment of anchor nodes across wireless networks for localization can be difficult in hostile…
Narges Moradi, Bradley G. Goodyear, Roberto C. Sotero
Brain imaging with a high-spatiotemporal resolution is crucial for accurate brain-function mapping. Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two popular neuroimaging modalities with complementary features that record brain function with high temporal and spatial resolution…
Michael J. Proulx, Orlin S. Todorov, Amanda Taylor Aiken, Alexandra A. de Sousa
'Alexandra A. de Sousa'] Knowing who we are, and where we are, are two fundamental aspects of our physical and mental experience. Although the domains of spatial and social cognition are often studied independently, a few recent areas of scholarship have explored the interactions of place and self. This fits in with…
Koyomi Nakazawa, Antoine Lévrier, Sergii Rudiuk, Ayako Yamada + 2 more
Giant unilamellar vesicles (GUVs) are widely used minimal cell models where essential biological features can be reproduced, isolated and studied. Although precise spatio-temporal distribution of membrane domains is a process of crucial importance in living cells, it is still highly challenging to generate anisotropic…
Xiaoliang Luo, Robert M. Mok, Bradley C. Love
Discoveries of functional cell types, exemplified by the cataloging of spatial cells in the hippocampal formation, are heralded as scientific breakthroughs. We question whether the identification of cell types based on human intuitions has scientific merit and suggest that “spatial cells” may arise in non-spatial…
Sai Krishna Kanth Hari, Kaarthik Sundar, José Braga, Joao A. Teixeira + 2 more
'Joao A. Teixeira' 'João Borges de Sousa' 'Swaroop Darbha'] Localization is an important required task for enabling vehicle autonomy for underwater vehicles. Localization entails the determination of position of the center of mass and orientation of a vehicle from the available measurements. In this paper, we focus on…
Abbas Jabermoradi, John van Duynhoven, Johannes Hohlbein
Emulsifiers play an essential role in ensuring the physiochemical stability of food emulsions. In the case of mayonnaise, proteins contained in egg yolk act as emulsifiers. Here, we employed stochastic optical reconstruction microscopy (STORM) to localize proteins at the oil/water droplet interface using fluorescently…
Jose A. Fernandez-Leon, Ahmet Kerim Uysal, Daoyun Ji
Navigation is one of the most fundamental skills of animals. During spatial navigation, grid cells in the medial entorhinal cortex process speed and direction of the animal to map the environment. Hippocampal place cells, in turn, encode place using sensory signals and reduce the accumulated error of grid cells for…
Amin Ghafourian, Orestis Georgiou, Edmund Barter, Thilo Groß
In the Wireless Localization Matching Problem (WLMP) the challenge is to match pieces of equipment with a set of candidate locations based on wireless signal measurements taken by the pieces of equipment. This challenge is complicated by the noise that is inherent in wireless signal measurements. Here we propose the…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for emission event detection, localization, and quantification on oil and gas production sites that uses concentration data collected by pointin-space continuous monitoring systems (CMS). The framework uses a gradient-based spike detection algorithm to estimate emission start and…
William Daniels, Meng Jia, Dorit Hammerling
We propose a generic, modular framework for methane emission event detection, localization, and quantification on oil and gas production sites that uses concentration and wind data collected by point-in-space continuous monitoring systems. The framework uses a gradient-based spike detection algorithm to estimate…
Authors not listed
We compare continuous monitoring systems (CMS) from three different vendors on six operating oil and gas sites in the Appalachian Basin using several months of data. We highlight similarities and differences between the three CMS solutions when deployed in the field and compare their output to concurrent top-down…