Skewed noise

Skewed CMOS: noise-tolerant high-performance low-power static circuit family

In this paper, we present a noise-tolerant high-performance static circuit family suitable for low-voltage operation called skewed logic. Skewed logic circuits in comparison with Domino logic have better scalability and they are more suitable for low voltage applications because of better noise margins. Skewed logic and its variations have been compared with Domino logic in terms of delay, powe...

THE EUROPEAN PHYSICAL JOURNAL B Empirical validation of stochastic models of interacting agents A “maximally skewed” noise trader model

The present paper expands on recent attempts at estimating the parameters of simple interacting-agent models of financial markets [S. Alfarano, T. Lux, F. Wagner, Computational Economics 26, 19 (2005); S. Alfarano, T. Lux, F. Wagner, in Funktionsfähigkeit und Stabilität von Finanzmärkten, edited by W. Franz, H. Ramser, M. Stadler (Mohr Siebeck, Tübingen, 2005), pp. 241–254]. Here we provide add...

Dissociating error-based and reinforcement-based loss functions during sensorimotor learning

It has been proposed that the sensorimotor system uses a loss (cost) function to evaluate potential movements in the presence of random noise. Here we test this idea in the context of both error-based and reinforcement-based learning. In a reaching task, we laterally shifted a cursor relative to true hand position using a skewed probability distribution. This skewed probability distribution had...

Shearing Properties of the Skewed Woven Fabrics (RESEARCH NOTE)

Effect of focusing and caustics on exit phenomena in systems lacking detailed balance.

We study the trajectories followed by a particle subjected to weak noise when escaping from the domain of attraction of a stable fixed point. If detailed balance is absent, a focus may occur along the most probable exit path, leading to a breakdown of symmetry (if present). The exit trajectory bifurcates, and the exit location distribution may become ‘skewed’ (nonGaussian). The weak-noise asymp...