Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on categorical data is still a challenge for SOM. This paper aims to extend standard SOM to handle feature values of categorical type. A batch SOM algorithm (NCSOM) is presented concerning the dissimilarity measure and u...

Some reports have outlined many different treatment strategies for superior oblique myokymia (SOM) that attempt to reduce or eliminate patients' symptoms of monocular oscillopsia and/or diplopia. Most treatment strategies have focused solely on oral medications or invasive surgery. The following is a current and critical review of SOM along with its clinical findings/symptoms, demographics, the...

Cortical interneurons are classified into several subtypes that contribute to cortical oscillatory activity. Parvalbumin (PV)-expressing cells, a type of inhibitory interneuron, are involved in the gamma oscillations of local field potentials (LFPs). Under ketamine-xylazine anesthesia or sleep, mammalian cortical circuits exhibit slow oscillations in which the active-up state and silent-down st...

Remote sensing has changed modern oceanography by proving synoptic periodic data which can be processed. Since the satellite data are usually too much and nonlinear, in most cases, it is difficult to distinguish the patterns from these images. In fact, SOM (Self-Organizing Maps) model is a type of ANN (Artificial Neural Network) that has the ability to distinguish the efficient patterns from th...

In many terrestrial ecosystems plant productivity is limited by the availability of mineral nitrogen, which is produced by soil microbial transformations of organic N in soil organic matter (SOM-N). Mineral N availability results from two opposing processes, 1) gross mineral N production (gross ammonification/ gross nitrification) and 2) microbial N immobilization. These processes can be influe...

This paper modified the mechanism of weight adjusting of the Self-Organizing Mapping network (SOM) for solving the problems of topology preserving and clarifying boundary of clustering graph for the clustering analysis. The modified SOM is named the Multiple Clustering Centers SOM (MCC-SOM). The MCC-SOM changed the competitive learning mechanism of “winner takes all” to allow the more one clust...

We investigated actions of somatostatin (Som) on voltagegated calcium channels in acutely isolated rat amygdaloid neurons. Somatostatin caused a dose-dependent inhibition of the high voltage-activated (HVA) Ca2+ current, with little or no effect on the low voltage-activated (LVA) current. Nifedipine (2-10 microM) reduced the peak current by approximately 15% without reducing inhibition of curre...

Both the Self-Organizing Map (SOM) and fuzzy ARTMAP neural network are trained based upon the competitive mechanism and use the “winner-take-all” rule. Previous studies developed soft classification algorithms for the SOM. This paper introduces the idea and proposes non-parametric measures for the fuzzy ARTMAP computational neural networks to handle spatial uncertainty in remotely sensed imager...

[1] Despite its wide applications as a tool for feature extraction, the Self-Organizing Map (SOM) remains a black box to most meteorologists and oceanographers. This paper evaluates the feature extraction performance of the SOM by using artificial data representative of known patterns. The SOM is shown to extract the patterns of a linear progressive sine wave. Sensitivity studies are performed ...

Microbial degradation of soil organic matter (SOM) is a key process for terrestrial carbon cycling, although the molecular details of these transformations remain unclear. This study reports the application of ultrahigh resolution mass spectrometry to profile the molecular composition of SOM and its degradation during a simulated warming experiment. A soil sample, collected near Barrow, Alaska,...