Coherence is a fundamental tool in the analysis of neuronal data and for studying multiscale interactions of single and multiunit spikes with local field potentials. However, when the coherence is used to estimate rhythmic synchrony between spiking and any other time series, the magnitude of the coherence is dependent upon the spike rate. This property is not a statistical bias, but a feature o...

R ecently there’s been a push among some of our clients to start bringing 3d imaging systems in-house. In the majority of cases the client wants my company to provide some form of training to help them get off on the right foot. Although we are in the consulting business, training is a different animal. We’ve worked for years, continuously refining our processes and tools, investing in R&D and ...

The profound knowledge of radio wave propagation is essential for the design and test wireless communication systems especially in demanding environments mobile transmitters receivers. In this article we provide an accurate description relevant parameters train-to-train scenarios considering typical such as railway stations, open field hilly terrain with cutting. At beginning contribution short...

In this paper we provide efficient robust algorithms for shunting problems concerning the reordering of train cars over a hump. In particular, we study algorithms able to cope with small disruptions, as temporary and local unavailability and/or malfunctioning of key resources that can occur and affect planned operations. To this aim, a definition of robust algorithm is provided. Performances of...

Many sentiment-analysis methods for the classification of reviews use training and test-data based on star ratings provided by reviewers. However, when reading reviews it appears that the reviewers’ ratings do not always give an accurate measure of the sentiment of the review. We performed an annotation study which showed that reader perceptions can also be expressed in ratings in a reliable wa...

Spike train regularity of the noisy neural auditory system model under the influence of two sinusoidal signals with different frequencies is investigated. For the increasing ratio m/n of the input signal frequencies (m, n are natural numbers) the linear growth of the regularity is found at the fixed difference (m - n). It is shown that the spike train regularity in the model is high for harmoni...

Neurons integrate inputs from thousands of afferents. Similarly, some experimental techniques record the pooled activity of large populations of cells. When cells in these populations are correlated, the correlation coefficient between the collective activity of two subpopulations is typically much larger than the correlation coefficient between individual cells: The act of pooling individual c...