soil moisture is a determinant factor in most of complex environmental processes and has an important role in agricultural drought occurrence. methods based on remote sensing are preferred to point measurements due to their better spatial and temporal precision. hence, in this research amsr-e surface soil moisture data of aqua satellite have been evaluated and their correlation to five years (2...

In this study, we investigated the cognitive processing stages underlying associative recognition using MEG. Over the last four decades, a model of associative recognition has been developed in the ACT-R cognitive architecture. This model was first exclusively based on behavior, but was later evaluated and improved based on fMRI and EEG data. Unfortunately, the limited spatial resolution of EEG...

This paper presents how hot spot detection methods can be extended to allow for temporal dimensions. Major concerns are how temporal dimension is incorporated into the framework of point pattern analysis, while maintaining the capability of multi-scale analysis. The study elaborates on expanding the scope of (space) K function in order to count time in the analysis. With the explicit treatment ...

Neural Strategies of Temporal Coding for Sensorimotor Processing Guglielmo Foffani Karen A. Moxon, Ph.D. At the cellular scale, single-neurons process information mainly through spikes or action potentials. At the system scale, the brain is an intricate network of interconnected structures. The aim of this thesis is to integrate the cellular scale and the system scale by studying how ensembles ...

We address the problem of predicting spatiotemporal processes with temporal patterns that vary across spatial regions, when data is obtained as a stream. That is, when the training dataset is augmented sequentially. Specifically, we develop a localized spatio-temporal covariance model of the process that can capture spatially varying temporal periodicities in the data. We then apply a covarianc...

In this paper, we present a new approach of analysis and recognition of retinal vessel segments for the quantification of their shapes change due to alterations. This approach is based on a spatial followed by a temporal characterization of retinal fluorescein angiographic images. The spatial characteristics (coordinates and classification number i.e. numbering of segments) are associated to bi...

We investigated the spatial parameters that permit temporal phase segmentation. Subjects identified a stimulus quadrant which was modulated 180 degrees out of phase with the rest of the stimulus at temporal frequencies between 2 and 30 Hz. We determined the modulation sensitivity for regular square lattices of Gaussian spots and a stimulus made from solid quadrants with varying separation. Sens...

Several shape error concealment techniques for objectbased video have already been proposed in the literature. These techniques, however, are either spatial or temporal, in the sense that only information from one of these domains is considered during the concealment process. While spatial error concealment techniques only use spatially adjacent shape information to perform the concealment, tem...