The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount of interest among researches and practitioners in a wide variety of elds The SOM and a variant of it, the LVQ, have been analyzed extensively, a number of variants of them have been developed and, perhaps most notably, they have been applied extensively within elds ranging from engineering sciences to medicine, biology, and economics We have collected a comprehensive list of 3343 scienti c papers that use the algorithms, have bene ted from them, or contain analyses of them The list is intended to serve as a source for literature surveys We have provided both a thematic and a keyword index to help nding articles of interest

Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997

We present a modification of Kohonens SOFMin order to simulate cortical plasticity induced by coactivation patterns. This is accomplished by introducing a probabilistic mode of stimulus presentation and by substituting the winner-takes- all mechanism by selecting the winner from a set of best matching neurons.

Modification of Kohonen's SOFM to Simulate Cortical Plasticity Induced by Coactivation Input Patterns

A method for optimizing an actual motion to perform a desired task by a performer wherein the performer has joints connected to body parts, the joints being actuated by muscle forces resulting in body part motion and the actual motion occurring as a result of generated muscle forces which torque the joints, resulting in the actual motion of connective body parts and/or an implement connected thereto. The joints, body parts, implements and their physical characteristics making a dynamic system. The method comprises the steps of deriving dynamics equations relating muscle forces to the dynamic behavior of the dynamic system; and computing the optimal motion for performing the desired task by minimizing the higher harmonic content of the muscle forces.

Method and apparatus for optimizing an actual motion to perform a desired task by a performer

A literature search over the last few years has shown that there has been a steady increase in publications on computer-based medical diagnostic applications, ranging from diagnostic aids for the physician or hospital staff, to systems issuing a complete diagnosis to experts or even to patients. Computer-based methods have been applied in so many medical specializations to assist the human expert, enhance one's senses and skills, or automate procedures, that an enumeration seems no longer adequate. This paper concentrates first on clarifying the terminology of computational intelligence (CI), presents the chronological development of CI systems using the example of Cyprus and investigates the overall significance of CI systems by visualizing the results of an extensive literature search in a medical database.

Computational intelligent diagnostics systems in medicine

Qualitative data from human muscle biopsies have been extracted and analyzed by artificial neural network (ANN) models trained with the Kohonen's self-organizing feature maps algorithm to provide an automated medical diagnosis. Data from 6 distinct groups of neuromuscular disorders were examined. Training and evaluation were carried out on 80 and 25 cases respectively. The diagnostic performance of models investigated varied form 87 to 95%, and 88 to 92% for the training and evaluation. Furthermore, the diagnostic usefulness of the self-organizing feature map models was tested on 11 muscle biopsies with no specific diagnostic findings that gave encouraging results.

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A. Hadjianastasiou

Papers

Qualitative morphological analysis of muscle biopsies using neural networks