RESUMO
In this paper, an improved Interior-Point Method (IPM) for solving symmetric optimization problems is presented. Symmetric optimization (SO) problems are linear optimization problems over symmetric cones. In particular, the method can be efficiently applied to an important instance of SO, a Controlled Tabular Adjustment (CTA) problem which is a method used for Statistical Disclosure Limitation (SDL) of tabular data. The presented method is a full Nesterov-Todd step infeasible IPM for SO. The algorithm converges to ε-approximate solution from any starting point whether feasible or infeasible. Each iteration consists of the feasibility step and several centering steps, however, the iterates are obtained in the wider neighborhood of the central path in comparison to the similar algorithms of this type which is the main improvement of the method. However, the currently best known iteration bound known for infeasible short-step methods is still achieved.
RESUMO
In acute experiments on cats with protrigeminal section immobilized by flaxedil the electrical activity of single neurons in associative visual cortex of Clare-Bishop was investigated by the extracellular registration of their spike activity. 95.5% of investigated neurons responding to natural stimulation (light spots) were sensitive to the movement of stimulus through the receptive field. Nearly 55% of neurons exhibited selective responses to the direction of stimulus movement. Some neurones responded only when the stimulus was crossing the border points of receptive field. Nearly 85.3% of neurons responded to the flashing spot with "on", "on-off" and "off" reactions, and also to the stimulation by diffuse flashes. Receptive fields of neurons in the Clare-Bishop area were of strip-like form with longitudinal axis in horizontal orientation. Presented observations allow concluding that the Clare-Bishop cortical association area plays an essential role in the central processing of visual information.
