In contrast to most other brain regions, in the striatum the output neurons (the medium-sized spiny neurons, MSNs) are GABAergic and act by inhibiting their targets. The standard model of the basal ganglia is built on the segregation of information processing in the direct and indirect pathways, which act in opposing directions to control movement. The MSNs participating in these two pathways c...

Time-reversal symmetry breaking allows for a rich set of magneto-transport properties related to electronic topology. Focusing on the magnetic Weyl semimetal Co$_3$Sn$_2$S$_2$, we prepared micro-ribbons and investigated their transverse longitudinal transport from 100 K 180 in fields $\mu_0 H$ up 2T. We establish presence magnetoresistance (MR) 1 % with strong anisotropy depending projection $H...

The random subspace and the projection methods are investigated compared as techniques for forming ensembles of nearest neighbor classifiers in high dimensional feature spaces. two have been empirically evaluated on three types high-dimensional datasets: microarrays, chemoinformatics, images. Experimental results 34 datasets show that both method lead to improvements predictive performance usin...

By exploiting the idea employed in spectral Dai-Yuan method by Xue et al. [IEICE Trans. Inf. Syst. 101 (12)2984-2990 (2018)] and approach applied modified Hager-Zhang scheme for nonsmooth optimization [PLos ONE 11(10): e0164289 (2016)], we develop a type iterative convex constrained nonlinear monotone system. The scheme's algorithm is obtained combining its search direction with projection [Klu...

Since big data sets are structurally complex, high-dimensional, and their attributes exhibit some redundant irrelevant information, the selection, evaluation, combination of those large-scale pose huge challenges to traditional methods. Fuzzy rough have emerged as a powerful vehicle deal with uncertain fuzzy in problems that involve very large number variables be analyzed short time. In order f...

A number of approaches have been proposed to determine the weights for multiple attribute decision making. However, resultant are usually assumed be fixed, making it lack tolerance accommodate variation if patterns subsequent data subject change. This article proposes a method facilitate adjustment weights, which accommodates relevant characteristics. model is first constructed that able expres...

Most of data in a multi attribute decision making (MADM) problem are unstable and changeable, and thus sensitivity analysis can effectively contribute to making proper decisions. Here, we offer a new method for sensitivity analysis of multi-attribute decision making problems so that by changing one element of decision making matrix, we can determine changes in the results of a decision making p...