We examine the optimal threshold distribution in populations of noisy threshold devices. When the noise on each threshold is independent, and sufficiently large, the optimal thresholds are realized by the suprathreshold stochastic resonance effect, in which case all threshold devices are identical. This result has relevance for neural population coding, as such noisy threshold devices model the...

palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. texture is one of the most important features extracted from low resolution images. in this paper, a new local descriptor, local composition derivative pattern (lcdp) is proposed to extract smartly stronger...

Background and objectives: Aging is a natural phenomenon associated with a decrease in physical fitness factors and increase in chronic pain. The present study aimed to investigate the effect of High Interval Intensity Training (HIIT) and Moderate Intensity Continued Training (MICT) with Citrus Aurantium (CA) consumption on pain threshold and motor balance in elderly rats. Material and Method...

In this paper we propose a multi-set modulation technique to increase the hiding capacity within a binary document image. As part of this technique we propose an Automatic Threshold Calculation and Threshold Buffering, Shifted Space Distribution and Letter Space Compensation technique. The Automatic Threshold Calculation is used to distinguish word spaces from letter spaces. The Threshold Buffe...

In this paper we propose a multi-set modulation technique to increase the hiding capacity within a binary document image. As part of this technique we propose an Automatic Threshold Calculation and Threshold Buffering, Shifted Space Distribution and Letter Space Compensation technique. The Automatic Threshold Calculation is used to distinguish word spaces from letter spaces. The Threshold Buffe...

In this paper, we propose a semi-parametric approach to estimate threshold models without the reliance of distribution assumption when the threshold variable is endogenous. Early threshold models based on the exogeneity assumption on the threshold variables are widely applied in economics studies. The invalidation of this assumption, however, may bias the estimation and inference. To control fo...