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Here we review the state of the art using saccadic eye movements as windows to the function of the normal brain and of the abnormal brain plagued by disease or trauma. By combining sophisticated behavioral paradigms with rigorous mathematical analysis and the latest imaging techniques one can use saccades as biomarkers of the highest level decision making to the lowest level basic machinery that generates...
The paper presents a method for the preparation of sulfonated polysulfone in order to receive a matrix to immobilisation of biomolecules. Optimum conditions of the synthesis are described. The phase inversion method was used to prepare a sulfonated polysulfone membrane and then urease was immobilized on the surface of the prepared matrix. Comparison of activity of native urease and the immobilized...
Standard multivariate statistical methods in medical applications are too sensitive to the assumption of multivariate normality and the presence of outliers in the data. This paper is devoted to robust statistical methods. In the context of medical image analysis they allow to solve the tasks of face detection and face recognition in a database of images. The results of the robust approaches in image...
Measuring saccadic reaction time distributions is an increasingly popular technique, making it possible to obtain a large amount of data non-invasively in a short period of time. Such distributions can often be encapsulated with just two parameters, representing the mean and variance of the rate of rise in the LATER model. For many purposes, both scientific and clinical, this is enough. But for normal...
To reveal some functional constraints of the saccade inhibitory neuronal circuits, we investigated the influence of response monitoring in human. The subjects were instructed to perform a stop signal task in which the probability of stop trial occurrence was manipulated. The purpose of the work was to evaluate the time course necessary to adapt the behavior to changes in the occurrence of stop signal...
Multiple classifier fusion may generate more accurate classification than each of the constituent classifiers. The aim was to examine the ensemble performance by the comparison of boosting, bagging and fixed fusion methods for aiding diagnosis. Real-life medical data set for thyroid diseases recognition was applied. Different fixed combined classifiers (mean, average, product, minimum, maximum, and...
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