Implementation and Evaluation of a Protocol for Detecting Network-Wide Threshold Crossing Alerts

Author(s):  
F. Wuhib ◽  
R. Stadler ◽  
A. Clemm
Keyword(s):  
2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Rita Greco ◽  
Giuseppe Carlo Marano ◽  
Alessandra Fiore ◽  
Ivo Vanzi

A widely used approach for the first crossing reliability evaluation of structures subject to nonstationary Gaussian random input is represented by the direct extension to the nonstationary case of the solution based on the qualified envelope, originally proposed for stationary cases. The most convenient way to approach this evaluation relies on working in the time domain, where a common assumption used is to adopt the modulation of stationary envelope process instead of the envelope of modulated stationary one, by utilizing the so-called “preenvelope” process. The described assumption is demonstrated in this work, also showing that such assumption can induce some errors in the envelope mean crossing rate.


2009 ◽  
Vol 21 (8) ◽  
pp. 2269-2308 ◽  
Author(s):  
Yoram Burak ◽  
Sam Lewallen ◽  
Haim Sompolinsky

We consider a threshold-crossing spiking process as a simple model for the activity within a population of neurons. Assuming that these neurons are driven by a common fluctuating input with gaussian statistics, we evaluate the cross-correlation of spike trains in pairs of model neurons with different thresholds. This correlation function tends to be asymmetric in time, indicating a preference for the neuron with the lower threshold to fire before the one with the higher threshold, even if their inputs are identical. The relationship between these results and spike statistics in other models of neural activity is explored. In particular, we compare our model with an integrate-and-fire model in which the membrane voltage resets following each spike. The qualitative properties of spike cross-correlations, emerging from the threshold-crossing model, are similar to those of bursting events in the integrate-and-fire model. This is particularly true for generalized integrate-and-fire models in which spikes tend to occur in bursts, as observed, for example, in retinal ganglion cells driven by a rapidly fluctuating visual stimulus. The threshold-crossing model thus provides a simple, analytically tractable description of event onsets in these neurons.


2000 ◽  
Vol 61 (5) ◽  
pp. 5033-5044 ◽  
Author(s):  
Alexey N. Pavlov ◽  
Olga V. Sosnovtseva ◽  
Erik Mosekilde ◽  
Vadim S. Anishchenko

Author(s):  
Gina Wisker ◽  
Maggi Savin-Baden

This paper explores the idea of conceptual threshold crossing in the writing process and in particular stuck moments and the process of moving on, valuing the pricelessness of preliminality, the vision of a possible movement through a portal and the creative learning leap into focused, formed writing. Our work to date is based on formal and less formal collections of narratives from academics who write, including ourselves, and from those who support and supervise the writing of both academic staff and doctoral students.


2011 ◽  
Vol 57 (14) ◽  
pp. E201 ◽  
Author(s):  
Wai Hong Wilson Tang ◽  
Eduardo N. Warman ◽  
James Johnson ◽  
Roy A. Small ◽  
J. Thomas Heywood

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