Resonance model study onK+N→Kpηnear threshold

Adjustments of response threshold during task switching: a model-based functional magnetic resonance imaging study.

Adjustment of response threshold for speed compared with accuracy instructions in two-choice decision-making tasks is associated with activation in the fronto-striatal network, including the pre-supplementary motor area (pre-SMA) and striatum (Forstmann et al., 2008). In contrast, increased response conservativeness is associated with activation of the subthalamic nucleus (STN) (Frank et al., 2...

Threshold Resonance in Geometric Scattering

The Threshold Impact of Fiscal and Monetary Policies on Inflation: Threshold Model Approach

The aim of this study is to examine the nonlinear effects of fiscal and monetary policies on inflation during 1990:3 to 2013:1 based on threshold model. First lag of the liquidity growth is recognized as threshold variable with threshold value estimated at 6.37 percent. In low liquidity growth, the results indicate that inflation expectations and the lagged liquidity growth are the most importa...

The Probabilistic Threshold Model 1 Running head : THE PROBABILISTIC THRESHOLD MODEL The Probabilistic Threshold Model

A formalization of the Threshold Theory, called the Probabilistic Threshold Model, is introduced. According to the Threshold Theory semantic categorization decisions come about through the placement of a threshold criterion along a dimension that represents items’ similarity to the category representation. The adequacy of this theory is assessed by applying the Probabilistic Threshold Model to ...

Stochastic resonance in noisy threshold neurons

Stochastic resonance occurs when noise improves how a nonlinear system performs. This paper presents two general stochastic-resonance theorems for threshold neurons that process noisy Bernoulli input sequences. The performance measure is Shannon mutual information. The theorems show that small amounts of independent additive noise can increase the mutual information of threshold neurons if the ...