In this paper, two generalizations of the SOM are introduced. The first of these extends the SOM to deal with more generalized classes of objects besides the vector dataset. This generalization is realized by employing modular networks instead of reference vector units and is thus called a modular network SOM (mnSOM). The second generalization involves the extension of the SOM from ‘map’ to ‘ho...

This chapter provides an overview on the self-organised map (SOM) in the context of manifold mapping. It first reviews the background of the SOM and issues on its cost function and topology measures. Then its variant, the visualisation induced SOM (ViSOM) proposed for preserving local metric on the map, is introduced and reviewed for data visualisation. The relationships among the SOM, ViSOM, m...

I denna avhandling studeras prostatacancerns naturalförlopp och värdet av befi ntliga prognostiska faktorer. Man studerar också några nya tänkbara prognostiska faktorer. Dessutom tittar man på tids trender för prostata tumörer som är upptäckta incidentalt vid två olika typer av operationer, som görs vid vattenkastningsbesvär. Avhandlingen bygger på två unika prostata cancer material som samlats...

Small-diameter sensory neurones found in the rat dorsal root ganglia (DRG) include cells sensitive to glial cell line-derived neurotrophic factor (GDNF), which express the inhibitory peptide somatostatin (SOM). Here we addressed the functional relationship between GDNF and sensory neurone-derived SOM. Topical application of GDNF through the rat isolated dorsal horn of the spinal cord promoted a...

Gonkowski S. & Całka J. 2012. The influence of selected pathological states on the somatostatin-like immunoreactive (SOM-LI) endocrine cells in the mucosal layer of the porcine descending colon. Pesquisa Veterinária Brasileiia 32(Supl.1):79-83. Division of Clinical Physiology, Faculty of Veterinary Medicine, University of Warmia and Mazury, Oczapowski Str. 13, Olsztyn, 10-957, Poland. E-mail: s...

We propose a new method called C-SOM for function approximation. C-SOM extends the standard Self-Organizing Map (SOM) with a combination of Local Linear Mapping (LLM) and cubic spline based interpolation techniques to improve standard SOMs' generalization capabilities. CSOM uses the gradient information provided by the LLM technique to compute a cubic spline interpolation in the input space bet...

Cortical inhibitory neurons exhibit remarkable diversity in their morphology, connectivity, and synaptic properties. Here, we review the function of somatostatin-expressing (SOM) inhibitory interneurons, focusing largely on sensory cortex. SOM neurons also comprise a number of subpopulations that can be distinguished by their morphology, input and output connectivity, laminar location, firing p...

The paper presents a new method for adaptive selection of Self-Organizing Map (SOM) self-training endpoint. A method is based on the estimation of the newly introduced parameter ∆init and the learning depth parameter κ. In order to propose an optimal range of κ values, the influence of the selected learning depth parameter to the performance of SOM was tested experimentally using input data wit...

The temperature sensitivity of soil organic matter (SOM) decomposition has been a crucial topic in global change research, yet remains highly uncertain. One of the contributing factors to this uncertainty is the lack of understanding about the role of rhizosphere priming effect (RPE) in shaping the temperature sensitivity. Using a novel continuous C-labeling method, we investigated the temperat...