It is useful to describe the membrane potential distribution of a neuron receiving stochastic inputs. In this context, it has been used to determine stationary firing rates as well as neuronal responses to time-dependent stimulations. Beyond its application to single neuron dynamics, the FPE is ...
If you use SUMPRODUCT() instead of SUMIF(), it should work: =LET(in,VSTACK(K2,K7,K11,K15,K19,K23,K27,K31,K35,K39,K43,K47,K51,K55),-SUMPRODUCT(in,--(in>0)))
In this work, a 1- dimensional (1D) time-dependent seismic wave equation is considered and solved using two methods, namely Gaussian process (GP) and physics informed neural networks. We show that these meshless methods are trained by smaller amount of data and can predict the solution of ...
First, we derive the map that describes the overall change suffered by a pulse after one full roundtrip along the cavity, which will be the basis for our CME. Such a procedure requires determining how the amplifier modifies an input, and then following the output along the cavity, through t...
(2) may also include dissipation, i.e., dispersive losses, which are not considered in this work. In the case of D = 0 and V(τ) = 0, Eq. (2) reduces to the commonly known propagation equation for linear dispersive media27. The fractional Riesz derivative in Eq. (2) is...
Use this syntax to search for a better solution than you obtain when not using the ms argument. example sol = solve(___,Name,Value) modifies the solution process using one or more name-value pair arguments in addition to the input arguments in previous syntaxes. example [sol,fval] = ...
Partial differential equation boundary control of a flexible manipulator with input saturationAll authorsZhijie Liu, Jinkun Liu & Wei HeDOI:http://dx.doi.org/10.1080/00207721.2016.1152416Published online:23 February 2016Display full size FundingThis work was supported by the Research Fund for Doctoral...
We see US healthcare with better outcomes from advancements in physician enterprise economics. We believe when physician economics are stable, the physician is more likely to have better focus on their clinical work resulting in a better experience for the patient and a happier life for the physic...
Building on prior work by CH, we estimate two structural parameters (α, λ) from the plant's profit function. Here we allow for disruption costs, λ, directly in the estimation. Variable profits at plant i in period t are given by Π(Ait, Kit) = AitKiαt if I = 0 ...
For simplicity, we only consider problems with fixed end points. Naturally, the result is a generalization of the classical Euler-Lagrange equations with the Weierstrass's side conditions, stated in the Hamiltonian language of optimal control theory. As in the author's previous work on the maximum...