firing patterns, e.g. by producing stochastic drift in grid attractor networks. Recently, Hardcastle et al. (Neuron, 2015) proposed that border cells may provide one mechanism for correcting such drift. We construct a model in which experience-dependent Hebbian plasticity during exploration allows border cells to self-organize their responses, while also learning connectivity to grid cells whic...

When vision of the hand is unavailable, movements drift systematically away from their targets. It is unclear, however, why this drift occurs. We investigated whether drift is an active process, in which people deliberately modify their movements based on biased position estimates, causing the real hand to move away from the real target location, or a passive process, in which execution error a...

Visual odometry estimates a robot’s ego-motion with cameras installed on itself. With the advantages brought by camera being a sensor, visual odometry has been widely adopted in robotics and navigation fields. Drift (or error accumulation) from relative motion concatenation is an intrinsic problem of visual odometry in long-range navigation, as visual odometry is a sensor based on relative meas...

Ensuring a high accuracy when measuring the parameters of devices under testing is an important task conducting research in terahertz-frequency range. The purpose this paper practical study thermal drift errors vector network analyzer using low-terahertz-frequency extender modules. For this, change measurement error, which function time, was analysed system, based on Keysight N5247B and coverin...

Traditional scalable video encoders sacrifice coding efficiency to reduce error propagation because they have avoided using enhancement-layer (EL) information to predict the base layer (BL) to prevent the error propagation termed “drift”. Drift can produce very poor video quality if left unchecked. In this paper, we propose a video coder with significantly better compression efficiency because ...

The MEMS gyroscope zero drifts dominantly affects measurement accuracy of gyroscope. For the nonlinear problem that MEMS gyro zero drift varying with the temperature changes, the wavelet transform was performed to filter the static experiment zero drift data, then the zero drift was investigate by combing with the improved grey prediction theory. Finally a temperature compensation model based o...

We propose two general and falsifiable hypotheses about expectations on generalization error when learning in the context of concept drift. One posits that as drift rate increases, the forgetting rate that minimizes generalization error will also increase and vice versa. The other posits that as a learner’s forgetting rate increases, the bias/variance profile that minimizes generalization error...

The characteristics of baseline drift are discussed from the perspective of error covariance. From this standpoint, the operation of derivative ® lters as preprocessing tools for multivariate calibration is explored. It is shown that convolution of derivative ® lter coef® cients with the error covariance matrices for the data tend to reduce the contributions of correlated error, thereby reducin...

Analog integrators using operational amplifiers are often subjected to the internal difficulties like offset and drift error. It is mainly due to the offset voltage and bias current of an op-amp. It causes drift in the output which increases with respect to time. In the proposed method an analog integrator has been designed for 2s duration with low drift and offset error. It has been designed f...