Sentence examples for threshold crossings from inspiring English sources
Recently, it has been shown that in many physiologically relevant cases the leaky integrate-and-fire model can be equivalent to a level-crossing model without reset, where spikes are modeled as positive threshold crossings and are not followed by a reset [3, 6, 16].
According to this model, the timing of the movement in the Libet experiment is determined by random threshold crossings in spontaneous fluctuations in neural activity.
We present approximations of the probability density function of the elastic component and a similar expression to the Rice formula related to frequency of threshold crossings.
This paper contains a detailed description and a comprehensive evaluation of TCA GAP, a protocol for detecting threshold crossings of network-wide aggregates in a distributed way.
On the contrary, if the scattering power is mostly seen as a component independent to the line-of-sight one, then the number of threshold crossings will increase.
While many theoretical results have been obtained in the last decades for individual Gaussian level-crossing processes, few results are available for multivariate, jointly correlated threshold crossings.
A few threshold-crossing TOA estimators applicable for energy detection (ED) receiver are developed in [24 26].
In this case, the PDF of the first-threshold-crossing probability of the envelop c(t) can be considered as the first-threshold-crossing probability of the band-pass noise v t), where the actual detection moment shows an extra delay of on average [0, 1/2f c ].
Fig. 4 PDF of the threshold-crossing moment for a the noise-only case, b the case with a single received FP pulse at t r =2 ns and FPNR=0.5 dB.
From a large number of measured pulse arrival times, the probability density function (PDF) of a single pulse measurement and the joint PDFs of all K collected pulse measurements under two different conditions: noise-only case and pulse received case, can be obtained for this first-threshold-crossing model.
In such a scenario, more information might be available across the board for familiar faces, and this could lead to faster threshold-crossing in decisions about a variety of properties of a familiar face.
