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Browsing Applied Mathematics by Subject "neural networks"
Now showing items 1-4 of 4
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From Fundamentals to Spectroscopic Applications of Density Functional Theory
(University of Waterloo, 2020-05-29)Density functional theory (DFT) and its time-dependent counterpart (TDDFT) are crucial tools in material discovery, drug design, biochemistry, catalysis, and nanoscience. However, despite its exact theoretical basis, ... -
Numerical Methods for Hamilton-Jacobi-Bellman Equations with Applications
(University of Waterloo, 2019-08-26)Hamilton-Jacobi-Bellman (HJB) equations are nonlinear controlled partial differential equations (PDEs). In this thesis, we propose various numerical methods for HJB equations arising from three specific applications. First, ... -
One-Dimensional Population Density Approaches To Recurrently Coupled Networks Of Neurons With Noise
(Society for Industrial and Applied Mathematics, 2015)Mean-field systems have been previously derived for networks of coupled, two-dimensional, integrate-and-fire neurons such as the Izhikevich, adapting exponential, and quartic integrate-and-fire, among others. Unfortunately, ... -
Stability, bifurcation and phase-locking of time-delayed excitatory-inhibitory neural networks
(AIMS Press, 2020-11)We study a model for a network of synaptically coupled, excitable neurons to identify the role of coupling delays in generating different network behaviors. The network consists of two distinct populations, each of which ...