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Biomedical subjects

L Rosenthaler

Publications and source records attributed to L Rosenthaler.

3 recordsLinked to original sources

Simplified user poll and experience report language (SUPER): implementation and application.

Biological computing is generally organized as standalone implementation on a PC-type computer or on a central facility (e.g. a university computer center). Services provided by central facilities need to be tailored to the user community. Unless very work-intensive individual contacts are used, the feedback must be collected with generalized tools, such as questionnaires distributed in the form of a newsletter. We have developed a method to have such polls automated and tailored, as well as having multiple-choice questions combined with branching after fundamental questions. As the evaluation of the results needs to know the questions asked, we have also included a method to process the answers and give detailed tables on the answers. SUPER was applied in a poll to query the academic usership in Switzerland on the usage of molecular biology databases.

Biology

Simplified user poll and experience report language (SUPER): implementation and application.

Biological computing is generally organized as stand-alone implementation on a PC-type computer or on a central facility (e.g. a university computer center). Services provided by central facilities need to be tailored to the user community. Unless very work-intensive individual contacts are used, the feedback must be collected with generalized tools, such as questionnaires distributed in the form of a newsletter. We have developed a method to have such polls automated and tailored, as well as having multiple-choice questions combined with branching after fundamental questions. As the evaluation of the results needs to know the questions asked, we have also included a method to process the answers and give detailed tables on the answers. SUPER was applied in a poll to query the academic usership in Switzerland on the usage of molecular biology databases.

Evaluation Studies as Topic

Simulation of neural contour mechanisms: from simple to end-stopped cells.

Early stages of visual form processing were modelled by simulating cortical simple, complex and end-stopped cells. The computation involves (1) convolution of the image with even and odd symmetrical orientation selective filters (S-operators), (2) combination of even and odd filter outputs to a local energy measure (C-operator), (3) "differentiation" of the C-operator maps along the respective orientation (single and double end-stopped operators) and (4) determination of local maxima ("key-points") of the combined end-stopped operator activity. While S- and C-operators are optimised for the representation of 1-D features such as edges and lines, the end-stopped operator responses at the key-points make explicit 2-D signal variations such as line ends, corners and segments of strong curvature. The theoretical need for this complementary representation is discussed. The model was tested on grey-valued images.

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