Maximizing the information per the expected unit energy cost in biological neurons is vital in understanding the functionality of our nervous system and improving the bio-inspired nano-networks. Hence ...

We derive a tight, single-term, purely exponential, lower bound on the Gaussian Q-function, along with a method to optimize its tightness and a fast iterative method for its inversion. To illustrate ...

Quantification of polysome and nucleoid asymmetries within cells along the cell division cycle was achieved by fitting Gaussian functions (Python least squares optimization: scipy.optimize.curve_fit) ...