Faithin Omaha eBook Collection

This thesis studies the capability of spiking recurrent neural network models to memorize dynamical pulse patterns (or firing signals). In the first part, discr

A book is like a window that allows you to look into the world. The window is shaped by the author and that makes that every window presents a unique view of th

With increasing availability of computation power, digital signal analysis algorithms have the potential of evolving from the common framewise operational metho

Normal with unknown variance (NUV) priors are a central idea of sparse Bayesian learning and allow variational representations of non-Gaussian priors. More spec