There is considerable interest in cell biology in determining whether, and to what extent, the spatial arrangement of nuclear objects affects nuclear function. A common approach to address this issue involves analyzing a collection of images produced using some form of fluorescence microscopy. We assume that these images have been successfully pre-processed and a spatial point pattern represent...

EEG single-trial analysis requires methods that are robust against noise and disturbance. In this contribution, based on the framework of robust statistics, we propose a simple modification of common spatial patterns (CSP) by robustifying covariance estimators against outlying trials caused for example by artifacts. We tested the proposed robust filters with EEG recordings from 80 subjects and ...

A study was conducted to assess the leading physical and biological processes influencing the spatial patterns of tropical mesozooplankton in a coral reef lagoon in Guadeloupe (French West Indies, Caribbean Sea), considering two size classes (190–600 μm and > 600 μm). The spatial variability of mesozooplankton biomass and abundance was examined along a transect, and related to environmental het...

Hippocampal neuronal activity distinguishes separate events that share common elements. Here, we examined whether the capacity to disambiguate overlapping experiences is an exclusive feature of hippocampal processing or whether information processing one stage earlier in the hippocampal system also disambiguates common elements of distinct experiences. We compared the spatial firing patterns of...

Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets to look for patterns. However, the growing volume of spatial datasets make it difficult for humans to browse such datasets in their entirety...