We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning. The tuning method was tested for the second generation JPL/Boeing Post-resonator MEMS gyroscope using the measurement of the frequency response of the MEMS device in open-loop operation We also report on the development of a hardware platfor...

A central theme of systems neuroscience is to characterize the tuning of neural responses to sensory 12 stimuli or the production of movement. Statistically, we often want to estimate the parameters of the 13 tuning curve, such as preferred direction, as well as the associated degree of uncertainty, characterized 14 by errorbars. Here we present a new sampling-based, Bayesian method that allows...

A central theme of systems neuroscience is to characterize the tuning of neural responses to sensory stimuli or the production of movement. Statistically, we often want to estimate the parameters of the tuning curve, such as preferred direction, as well as the associated degree of uncertainty, characterized by error bars. Here we present a new sampling-based, Bayesian method that allows the est...

Cronin B, Stevenson IH, Sur M, Körding KP. Hierarchical Bayesian modeling and Markov chain Monte Carlo sampling for tuningcurve analysis. J Neurophysiol 103: 591–602, 2010. First published November 4, 2009; doi:10.1152/jn.00379.2009. A central theme of systems neuroscience is to characterize the tuning of neural responses to sensory stimuli or the production of movement. Statistically, we often...

Our research is to develop the low-complexity broadband microphone beamformer which has robustness to moving interference signal. In this paper, an improved broadband GSC-RLS beamformer structure with fast self-tuning algorithm is proposed. Also, the improved fast self-tuning algorithm for the proposed GSC-RLS structure is developed, based on the Song‟s method. The computational complexity of t...

High-dimensional binary classification tasks, e.g. the classification of mi-croarray samples into normal and cancer tissues, usually involve a tuning parameter adjusting the complexity of the applied method to the examined data set. By reporting the performance of the best tuning parameter value only, over-optimistic prediction errors are published. The contribution of this paper is twofold. Fi...

In this paper a novel technique is presented to solve tolerance design problems. To achieve the desired performance tolerance the technique uses a subtle, but significant, change in the design rather than increasing component precision. This change is the addition of a tuning parameter. Statistical models are used to developed framework for the tuning parameter design method. Also developed is ...

Neural oscillators with a ladder-like structure is one of the central pattern generator (CPG) model that is used to simulate rhythmic movements in living organisms. However, it is not easy to realize rhythmical cycles by tuning many parameters of neural oscillators. In this study, we propose an automatic tuning method. We derive the tuning rules for both the time constants and the coefficients ...

This paper presents a new approximation method for localized (`bumpya) steady state activation patterns in truly nonlinear neural "eld equations. The method is applied to models for orientation tuning in V1 simple cells where it allows to study the impact of nonlinear rate-functions on tuning properties and a derivation of explicit formulas for response amplitudes and tuning widths in dependenc...

The presence of part-through cracks with limited length is one of the prevalent defects in the plate structures. Due to the slight effect of this type of damages on the frequency response of the plates, conventional vibration-based damage assessment could be a challenging task. In this study for the first time, a recently developed state-space method which is based on the chaotic excitation is ...