Results 181 to 189 of about 234 (189)

Tonotopically distinct OFF responses arise in the mouse auditory midbrain following sideband suppression

The Journal of Physiology, EarlyView.
Abstract figure legend Sounds of different frequencies elicit spatially distinct patterns of neural activity within the inferior colliculus aligned to the tonotopic organization of afferent projections. Sound‐evoked neural responses can be visualized in awake mice that express fluorescent Ca2+ sensors.
Patrick D. Parker, Amanda M. Lauer, Dwight E. Bergles   +2 more
wiley   +1 more source

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Approximate solution of hyperbolic conservation laws by discrete mollification

Applied Numerical Mathematics, 2009
The authors propose explicit schemes for one-dimensional linear and nonlinear hyperbolic conservation laws. Combination of these methods with discrete mollification yields new methods with the following properties: Large time steps are allowed and stability is preserved.
CARLOS Mejia
exaly   +3 more sources

Discrete mollification in Bernstein basis and space marching scheme for numerical solution of an inverse two-phase one-dimensional Stefan problem

Numerical Algorithms, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amir Amiraslani, Ali Zakeri
exaly   +3 more sources

A numerical scheme based on discrete mollification method using Bernstein basis polynomials for solving the inverse one-dimensional Stefan problem

Inverse Problems in Science and Engineering, 2020
This paper concerns a one-phase inverse Stefan problem in one-dimensional space. The problem is ill-posed in the sense that the solution does not depend continuously on the data.
Amir Amiraslani, Ali Zakeri
exaly   +2 more sources

A mollification based operator splitting method for convection diffusion equations [PDF]

Computers and Mathematics With Applications, 2010
The main goal of this paper is to show that discrete mollification is a suitable ingredient in operator splitting methods for the numerical solution of nonlinear convection–diffusion equations. In order to achieve this goal, we substitute the second step
CARLOS Mejia
exaly   +2 more sources

Regularization of a nonlinear inverse problem by discrete mollification method

2021
Summary: In this article, the application of discrete mollification as a regularization procedure for solving a nonlinear inverse problem in one dimensional space is considered. Illposedness is identified as one of the main characteristics of inverse problems. It is clear that if we have a noisy data, the inverse problem becomes unstable.
Bodaghi, Soheila, Zakeri, Ali, Amiraslani, Amir   +2 more
openaire   +1 more source

Mollification in Strongly Lipschitz Domains with Application to Continuous and Discrete De Rham Complexes

Computational Methods in Applied Mathematics, 2016
Jean-Luc Guermond, Alexandre Ern
exaly  

Monotone difference schemes stabilized by discrete mollification for strongly degenerate parabolic equations

Numerical Methods for Partial Differential Equations, 2012
Raimund Bürger, CARLOS Mejia
exaly  

Mollification of the Gibbs phenomena using orthogonal wavelets

2011
Tohru Morita
exaly