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Dynamic decomposition of spatiotemporal neural signals [PDF]
PLOS Computational Biology, 2017 Neural signals are characterized by rich temporal and spatiotemporal dynamics that reflect the organization of cortical networks. Theoretical research has shown how neural networks can operate at different dynamic ranges that correspond to specific types of information processing.
Ambrogioni, L. +4 more
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PoSDMS: A Mining System for Oceanic Dynamics with Time Series of Raster-Formatted Datasets
Remote Sensing, 2022 Many effective and advanced methods have been developed to explore oceanic dynamics using time series of raster-formatted datasets; however, they have generally been designed at a scale suitable for data observation and used independently of each other ...
Lianwei Li +4 more
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Exploring the Spatiotemporal Dynamics of Cooperative Members' Switching Decisions [PDF]
, 2018 This article analyses the spatiotemporal dynamics of the actual switching behaviour of farmers’ in a dairy cooperative’s membership base. Space-time permutation scan statistic is used to identify clusters of switching decisions in space and time, while ...
Viergutz, Tim, Schulze-Ehlers, Birgit
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Developing a flexible framework for spatiotemporal population modelling [PDF]
, 2015 This article proposes a general framework for modeling population distributions in space and time. This is particularly pertinent to a growing range of applications that require spatiotemporal specificity; for example, to inform planning of emergency ...
Martin, David +2 more
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Neural masses and fields: modeling the dynamics of brain activity. [PDF]
, 2013 This technical note introduces a conductance-based neural field model that combines biologically realistic synaptic dynamics—based on transmembrane currents—with neural field equations, describing the propagation of spikes over the cortical surface. This
Pinotsis, D +14 more
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Analyzing Nonlinear Dynamics via Data-Driven Dynamic Mode Decomposition-Like Methods
Complexity, 2018 This article presents a review on two methods based on dynamic mode decomposition and its multiple applications, focusing on higher order dynamic mode decomposition (which provides a purely temporal Fourier-like decomposition) and spatiotemporal Koopman ...
Soledad Le Clainche, José M. Vega
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Agronomy, 2023 Grasslands, a vital ecosystem and component of the global carbon cycle, play a significant role in evaluating ecosystem health and monitoring the global carbon balance.
Yaxian Chen +7 more
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Spatiotemporal mapping of mesoscopic liquid dynamics
Physical Review E, 2021 The study of liquid dynamics at mesoscopic scales is still strewn with difficulty due to limitations in theory and experiment. Historically, significant attention has been given to the analysis of space-time correlation functions and their frequency-Fourier transforms at a few discrete wave numbers.
Zhiqiang Shen +5 more
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Remote Sensing, 2023 The escalating frequency and severity of extreme climate greatly impact the carbon dynamics of terrestrial ecosystems worldwide. To understand the multi-temporal response of net ecosystem productivity (NEP) to extreme climate, we investigated 11 ...
Yiqin Huang +6 more
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Dynamic Models for Spatiotemporal Data
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2001 Summary We propose a model for non-stationary spatiotemporal data. To account for spatial variability, we model the mean function at each time period as a locally weighted mixture of linear regressions. To incorporate temporal variation, we allow the regression coefficients to change through time.
Stroud, Jonathan R. +2 more
openaire +2 more sources