Attention has been shown to affect the neural processing of pain. However, the exact mechanisms underlying this modulation remain unknown. Here, we used a new method called pain steady-state evoked potentials (PSSEPs) to investigate whether selective spatial attention affects EEG responses to tonic painful stimuli. In general, steady-state evoked potentials reflect changes in the EEG spectrum a...

This doctoral thesis is about a rather new model-based signal processing methodology that is based on factor graphs and message-passing algorithms. Using this, we have developed exemplary signal processing algorithms for various biomedical applications. The main application to evaluate and demonstrate this new methodology was in the field of electromyographic (EMG) signal analysis. EMG signals ...

The most popular dispatching rule for double-track segments is to dedicate one track for trains traveling in one direction. However, today passenger trains are able to travel at a much faster speed compared to freight trains, but the limitation of the rail infrastructure makes it more cost effective to allow the passenger trains to share some portions of the railway tracks with the slower freig...

Estimating the population activity patterns between two or more spike trains is a fundamental problem in studying neural coding in computational neuroscience. In recent years, there are many different methods proposed to build a framework to deal with these problems by using spike train metric. Here we suggest a kernel method for multichannel spike trains that can provide an opportunity to meas...

We analyse maintenance cost data for Swedish railway infrastructure in relation to traffic volumes and network characteristics, and separate the cost impact from passenger and freight trains. Lines with mixed passenger and freight traffic, and dedicated freight lines are analysed separately using both log-linear and BoxCox regression models. We find that for mixed lines, the Box-Cox specificati...