A time-scale invariant burst-detection algorithm for single-unit spike train is described. This burst analysis is an auto-adaptive algorithm that uses interand intra-burst intervals for identifying the burst itself. By using a self-adaptive algorithm, a burst is de$ned by the characteristic $ring patterns within and between bursts. Bursts are detected by auto-adaptive method when the inter-burs...

Motivated by intention to evaluate asymptotically multiple-burst-error-correcting codes on channels with memory, we will derive the following fact. Let {Zi} be a hidden Markov process, i.e., a functional of a Markov chain with a finite state space, and Wb(Z1Z2 . . . Zn) denote the number of burst errors that appear in Z1Z2 . . . Zn, where the number of burst errors is counted using Gabidulin’s ...

objective(s):despite of wide range applications of polymeric nanoparticles in protein delivery, there are some problems for the field of protein entrapment, initial burst and controlled release profile.   materials and methods: in this study, we investigated the influence of some changes in plga nanoparticles formulation to improve the initial and controlled release profile. selected parameters ...

In optical burst switching (OBS) networks, burst with different numbers of hops experience unfairness in terms of the burst loss probability. In this paper, we propose a preemptive scheme based on the number of transit hops in OBS networks. In our proposed scheme, preemption is performed with two thresholds; one is for the total number of hops of a burst and the other is for the number of trans...

We are developing a lexicon of specific heart period changes, or lexons, that recur frequently and whose physiological meaning can be read into ambulatory electrocardiogram (ECG). The transient, reversible "burst" of tachycardia induced by exercise initiation can also be seen on ambulatory ECG. We hypothesized that burst morphology depended on the work that preceded it and on baroreceptor activ...

introduction: a close link between spreading depression (sd) and several neurological diseases such as epilepsy could be demonstrated in many experimental studies. epilepsy is among the most common brain disorders. despite a large number of investigations, its mechanisms have not been yet well elucidated. hippocampus is one of the important structures involved in seizures. the aim of this study...

This paper presents a new analytical model for calculating burst loss rate (BLR) in a slotted optical burst switched network. The analytical result leads to a framework which provides guidelines for optical burst switched networks. Wavelength converter is used for burst contention resolution. The effect of several design parameters such as burst arrival probability, wavelength conversion capabi...

The multi-level programming problem is defined as an n-person nonzero-sum game with perfect information in which the players move sequentially. The bi-level linear case is addressed in detail. Solutions are obtained by recasting this problem as a standard mathematical probram and appealing to its implicitly separable structure. The reformulated optimization problem is linear save for a ~ompleme...

The continuous network design problem (CNDP) is known to be difficult to solve due to the property of non-convexity and nonlinearity. Such kind of CNDP can be formulated as a bi-level programme, which may be classified into Stackelberg approach and Nash one according to the relationship between the upper level and the lower level parts. This paper formulates the CNDP for road expansion based on...

This research proposes a bi-level model for the mixed network design problem (MNDP). The upper level problem involves redesigning the current road links' directions, expanding their capacity, and determining signal settings at intersections to optimize the reserve capacity of the whole system. The lower level problem is the user equilibrium traffic assignment problem. By proving that the optima...