24 papers · ranked by Valyu relevance
Yuhao Kang, Kunlin Wu, Song Gao, Ignavier Ng + 4 more
'Fan Zhang' 'Teng Fei'] Spatial clustering has been widely used for spatial data mining and knowledge discovery. An ideal multivariate spatial clustering should consider both spatial contiguity and aspatial attributes. Existing spatial clustering approaches may face challenges for discovering repeated geographic…
Rajitha Senanayake, Pratheepa Jeganathan
Identifying spatially contiguous clusters and repeated spatial patterns (RSP) characterized by similar underlying distributions that are spatially apart is a key challenge in modern spatial statistics. Existing constrained clustering methods enforce spatial contiguity but are limited in their ability to identify RSP.…
Lei Zheng, Nico Marek, Natalia Melnik, Stefan Pollmann
Contextual cueing leads to improved efficiency in visual search resulting from the extraction of spatial regularities in repeated visual stimuli. Previous research has demonstrated the independent contributions of global configuration and spatial position to contextual cueing. The present study aimed to investigate…
William Hockeimer, Ruo-Yah Lai, Maanasa Natrajan, William Snider + 3 more
'James J Knierim' 'Lisa M Giocomo' 'Laura L Colgin'] The hippocampus is believed to encode episodic memory by binding information about the content of experience within a spatiotemporal framework encoding the location and temporal context of that experience. Previous work implies a distinction between positional inputs…
Luna Kettlewell, Audrey Sederberg, Gordon B. Smith
Over the course of development, functional sensory representations emerge in the visual cortex. Prior to eye-opening, modular patterns of spontaneous activity form long-range networks that may serve as a precursor for mature network organization. Although the spatial structure of these networks has been well studied…
Luna Kettlewell, Audrey Sederberg, Gordon B. Smith
Over the course of development, functional sensory representations emerge in the visual cortex. Prior to eye opening, modular patterns of spontaneous activity form long-range networks that may serve as a precursor for mature network organization. Although the spatial structure of these networks has been well studied…
Tingying He, Jason Dykes, Petra Isenberg, Tobias Isenberg
—We present a new comprehensive theory for explaining, exploring, and using pattern as a visual variable in visualization. Although patterns have long been used for data encoding and continue to be valuable today, their conceptual foundations are precarious: the concepts and terminology used across the research…
Célia Laurent, David Smith, Francesca Sargolini, Pierre-Yves Jacob
In everyday life, mammals have to find their way between interconnected spaces. How the brain processes spatial information in these complex environments is a crucial question for understanding how we navigate. Theoretical frameworks have proposed that the brain produces simultaneous activities that are either…
Yuval Bitan, Abed El Hamid Fahoum, Greg Fukakusa, Cynthia Valdron + 1 more
Objective To examine whether adding well designed visual patterns to labels can increase efficiency of searching for labelled items. Background Errors of substitution can occur when selecting among similarly appearing items, especially under adverse conditions and time pressure. Method Two consecutive studies…
Bo Zhang, Jia Liu
The phenomenon of neuronal replay, the sequential reactivation of hippocampal place cells for past experiences, have been proposed to organize learned knowledges into a cognitive map. Here we used the spin-glass model to simulate the formation of the hexagonal pattern of grid cells, the metric of cognitive map, when…
Rebecca RG, Giorgio A Ascoli, Nate M Sutton, Holger Dannenberg + 2 more
'Adrien Peyrache' 'Laura L Colgin'] Spatial periodicity in grid cell firing has been interpreted as a neural metric for space providing animals with a coordinate system in navigating physical and mental spaces. However, the specific computational problem being solved by grid cells has remained elusive. Here, we provide…
Lionel Zoubritzky, François-Xavier Coudert
We present here an open-source Julia library for the topological identification of crystalline materials, with algorithmic and computational improvements over the previously available software in the field, resulting in a speed increase of one order of magnitude. This new algorithm and implementation can therefore be…
Xiuxiu Bai, Zhe Liu, Yao Gao, Bin Liu + 1 more
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery. Grid cells (2014 Nobel Prize) in the entorhinal cortex support a periodic representation as a metric for coding space. Here, we develop a…
Authors not listed
Laser modification of polymer surfaces is critical in many contexts including self-cleaning materials, microelectronics, and biomedical research. Despite their utility, accessing these modified polymers requires expensive or complex materials and multi-step fabrication, masking, and washing processes. Here, we present…
Alexandria Volkening
survey and tutorial Authors: ['Alexandria Volkening'] From flocking birds to schooling fish, organisms interact to form collective dynamics across the natural world. Self-organization is present at smaller scales as well: cells interact and move during development to produce patterns in fish skin, and wound healing…
Tibin John, Yajun Zhou, Ayman Aljishi, Bastian Rieck + 2 more
Time is a critical component of memory and yet how the hippocampus incorporates temporal information with the sensory contents of memories remains unclear. We hypothesized that the hippocampus can learn arbitrary sequences through rapid changes in the tuning and population geometry of individual neurons to mirror the…
Neetu ., Aman Saini, Rishi Ram Mahato, Priyanka . + 1 more
The theory behind origin of life to Darwinian evolution considers emergence of dissipative structures driven by the flow of energy across all length scales. To this end, developing and deeper understanding of non-equilibrium self-assembly processes under continuous supply of energy is a demanding matter, both in…
Authors not listed
We report the discovery of highly ordered photoinduced patterns in two-dimensional layered copper halide perovskites under ultraviolet illumination in ultrahigh vacuum. In contrast to conventional random degradation observed in metal halide perovskites, these perovskites exhibit directional nanoscale grooves with…
Markus Borud Pettersen, Vemund Sigmundson Schøyen, Anders Malthe-Sørenssen, Mikkel Elle Lepperød
Hippocampal place cells are known for their spatially selective firing and are believed to encode an animal’s location while forming part of a cognitive map of space. These cells exhibit marked tuning curve and rate changes when an animal’s environment is sufficiently manipulated, in a process known as remapping. Place…
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…
Haleigh N. Mulholland, Matthias Kaschube, Gordon B. Smith
During development, cortical activity is organized into distributed modular patterns that are a precursor of the mature columnar functional architecture. Theoretically, such structured neural activity can emerge dynamically from local synaptic interactions through a recurrent network with effective local excitation…
Authors not listed
The capacity to pattern biomolecules within microfluidic devices expands the scope of microfluidic technologies. In such patterned systems, surface-bound components remained localized, while the microfluidic network supplies reagents and removes waste products. This approach has enabled continuous protein expression…
Matthew Bailey, Mark Wilson
One of the critical tools of persistent homology is the persistence diagram. We demonstrate the applicability of a persistence diagram showing the existence of topological features (here rings in a 2D network) generated over time instead of space as a tool to analyse trajectories of biological networks. We show how the…
Andrey Babichev, Vladimir Vashin, Yuri Dabaghian
Topological techniques have become a popular tool for studying information flows in neural networks. In particular, simplicial homology theory is used to analyze how cognitive representations of space emerge from large conglomerates of independent neuronal contributions. Meanwhile, a growing number of studies suggest…