22 papers · ranked by Valyu relevance
Thimal Kempitiya, Damminda Alahakoon, Evgeny Osipov, Sachin Kahawala + 4 more
'Daswin De Silva' 'Gang Hu' 'Weiguo Zhao' 'Zhenxing Zhang'] We propose a new nature- and neuro-science-inspired algorithm for spatiotemporal learning and prediction based on sequential recall and vector symbolic architecture. A key novelty is the learning of spatial and temporal patterns as decoupled concepts where the…
Jette Oberländer, Younes Bouhadjar, Abigail Morrison
Learning and replaying spatiotemporal sequences are fundamental computations performed by the brain and specifically the neocortex. These features are critical for a wide variety of cognitive functions, including sensory perception and the execution of motor and language skills. Although several computational models…
Taekjun Kim, HyungGoo R. Kim, Kayeon Kim, Choongkil Lee + 1 more
'Thomas Wennekers'] The spike activity of single neurons of the primary visual cortex (V1) becomes more selective and reliable in response to wide-field natural scenes compared to smaller stimuli confined to the classical receptive field (RF). However, it is largely unknown what aspects of natural scenes increase the…
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
Large volumes of spatio-temporal data are increasingly collected and studied in diverse domains including, climate science, social sciences, neuroscience, epidemiology, transportation, mobile health, and Earth sciences. Spatio-temporal data differs from relational data for which computational approaches are developed…
Dimitrios Tsourounis, Dimitris Kastaniotis, Spiros Fotopoulos, Amine Nait-Ali
'Amine Nait-Ali'] Lip reading (LR) is the task of predicting the speech utilizing only the visual information of the speaker. In this work, for the first time, the benefits of alternating between spatiotemporal and spatial convolutions for learning effective features from the LR sequences are studied. In this context…
Arun Sharma, Zhe Jiang, Shashi Shekhar
Spatiotemporal data mining aims to discover interesting, useful but non-trivial patterns in big spatial and spatiotemporal data. They are used in various application domains such as public safety, ecology, epidemiology, earth science etc. This problem is challenging because of the high societal cost of spurious…
Masaki Hiramoto, Hollis T. Cline
Natural visual scenes are dominated by sequences of transforming images. Spatial visual information is thought to be processed by detection of elemental stimulus features which are recomposed into scenes. How image information is integrated over time is unclear. We explored visual information encoding in the optic…
Peter Ranacher, Katerina Tzavella
In geographic information science, a plethora of different approaches and methods is used to assess the similarity of movement. Some of these approaches term two moving objects similar if they share akin paths. Others require objects to move at similar speed and yet others consider movement similar if it occurs at the…
Yue Liu, Samuel Levy, William Mau, Nitzan Geva + 4 more
Neurons in the hippocampus fire in consistent sequence over the timescale of seconds during the delay period of some memory experiments. For longer timescales, firing of hippocampal neurons also changes slowly over minutes within experimental sessions. It was thought that these slow dynamics are caused by stochastic…
Piotr S. Maciąg
We consider the problem of discovering sequential patterns from event-based spatio-temporal data. The dataset is described by a set of event types and their instances. Based on the given dataset, the task is to discover all significant sequential patterns denoting some attraction relation between event types occurring…
Yan Xu, Yaoting Jiang, Wenyi Liu, D.Q. Yi + 1 more
Sequences for Advanced Data Mining Authors: ['Yan Xu' 'Yaoting Jiang' 'Wenyi Liu' 'D.Q. Yi' 'Jian‐Jun Wei'] Abstract—This paper introduces a novel spatiotemporal feature representation model designed to address the limitations of traditional methods in multidimensional time series (MTS) analysis. The proposed approach…
Tibin John, Yajun Zhou, Ayman Aljishi, Bastian Rieck + 2 more
The hippocampus plays a critical role in the formation of memories and in the representation of time, yet the coding principles that connect these functions are poorly understood. We hypothesized that hippocampal neurons selective for specific visual stimuli adjust their tuning to encode sequence structure, smoothly…
Baptiste Gauthier, Karin Pestke, Virginie van Wassenhove
When navigating the real-world, the spatiotemporal sequencing of events is intrinsically bound to one’s physical trajectory; when recollecting the past or imagining the future, the temporal and spatial dimension of events can be independently manipulated. Yet, the rules enabling the flexible use of spatial and temporal…
Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari
We propose an automatic system for organizing the content of a collection of unstructured videos of an articulated object class (e.g., tiger, horse). By exploiting the recurring motion patterns of the class across videos, our system: (1) identifies its characteristic behaviors, and (2) recovers pixel-to-pixel…
Jacob L. S. Bellmund, Lorena Deuker, Nicole D. Montijn, Christian F. Doeller
The hippocampal-entorhinal region supports memory for episodic details, such as temporal relations of sequential events, and mnemonic constructions combining experiences for inferential reasoning. However, it is unclear whether hippocampal event memories reflect temporal relations derived from mnemonic constructions…
Shijie Deng, Brandon Jolly, James Wilkes, Yu Mu + 5 more
Integrated catalysis is an emerging methodology that can streamline the multistep synthesis of complicated products in a single reaction vessel, achieving a high degree of control and reducing the waste and cost of the overall process. Integrated catalysis utilizes spatial and temporal control to couple different…
Thomas Guyet, Pierre Pinson, Enoal Gesny
Improving the future of healthcare starts by better understanding the current actual practices in hospitals. This motivates the objective of discovering typical care pathways from patient data. Revealing homogeneous groups of care pathways can be achieved through clustering. The difficulty in clustering care pathways…
Van Ho-Long, Nguyen Ho, Anh-Vu Dinh-Duc, Ha Manh Tran + 4 more
The explosive growth of IoT-enabled sensors is producing enormous amounts of time series data across many domains, offering valuable opportunities to extract insights through temporal pattern mining. Among these patterns, an important class exhibits periodic occurrences, referred to as seasonal temporal patterns…
Authors not listed
Sequence is the critical determinant of macromolecular function, yet current polymer design approaches often optimize monomer composition and ratios while ignoring sequence. This creates poorly defined design spaces for active learning that miss the vast combinatorial landscape of sequence possibilities. We introduce…
Elisa Frezza, Damien Laage, Elise Duboué-Dijon
Water molecules are essential to determine the structure of nucleic acids and mediate their interactions with other biomolecules. Here, we characterize the hydration dynamics of analogous DNA and RNA double helices with unprecedented resolution and elucidate the molecular origin of their differences: localization of…
Cindy Ng, Anirban Samanta, Ole Aalund Mandrup, Emily Tsang + 3 more
The folding of double-stranded DNA around histones is a central mechanism in eukaryotic cells for compacting the genetic information into chromosomes. Very few artificial methods are available for controlling the shape of dsDNA at any level, whereas several artificial methods have been developed to efficiently organize…
Authors not listed
Terminally labeled DNA oligonucleotides have wide applications in modern biology and biotechnological applications. It has been observed that the fluorescent intensity of light released from these fluorescent labels is heavily influenced by the terminal sequence of nucleotides. Recent studies have assayed and published…