A Cortical-Inspired Contour Completion Model Based on Contour Orientation and Thickness.

An extended four-dimensional version of the traditional Petitot-Citti-Sarti model on contour completion in the visual cortex is examined. The neural configuration space is considered as the group of similarity transformations, denoted as M=SIM(2). The left-invariant subbundle of the tangent bundle models possible directions for establishing neural communication.

Liouville Integrability in a Four-Dimensional Model of the Visual Cortex.

We consider a natural extension of the Petitot-Citti-Sarti model of the primary visual cortex. In the extended model, the curvature of contours is taken into account. The occluded contours are completed via sub-Riemannian geodesics in the four-dimensional space M of positions, orientations, and curvatures.

Entropic Balance Conditions and Optimization of Distillation Column System.

The paper considers the limitation problem of the distillation column systems separating multicomponent mixtures with serial and parallel structures. The solution takes into account the irreversibility of processes. Using entropic balance conditions, the dependence of load on heat consumption is obtained for a binary distillation column.

Approaches to Medical Decision-Making Based on Big Clinical Data.

The paper discusses different approaches to building a medical decision support system based on big data. The authors sought to abstain from any data reduction and apply universal teaching and big data processing methods independent of disease classification standards. The paper assesses and compares the accuracy of recommendations among three options: case-based reasoning, simple single-layer neural network, and probabilistic neural network.

Precedent Approach to Decision Making in Clinical Processes.

This poster describes the results of promising research in the field of clinical processes management and decision making support. The authors formulated common scientific problems connected with the modelling of treatment processes. The research is supported by grants from the Ministry of Education and Science of the Russian Federation (the project RFMEFI60714X0089).