Microstructure imaging seeks to noninvasively measure and map microscopic tissue
features by pairing mathematical modeling with tailored MRI protocols. This article reviews …

We introduce and demonstrate an unsupervised machine learning technique for
spectroscopic analysis of quantitative MRI experiments. Our algorithm supports estimation of …

Hebbian plasticity in winner-take-all (WTA) networks is highly attractive for neuromorphic on-
chip learning, owing to its efficient, local, unsupervised, and on-line nature. Moreover, its …

An established normative approach for understanding the algorithmic basis of neural
computation is to derive online algorithms from principled computational objectives and …

The olfaction begins when odorant molecules stimulate a finite number of receptor types in
the olfactory neurons. According to the recent connectomics data of the Drosophila olfactory …

The increase of distributed Photovoltaic (PV) generators in the power system changes the
load demand pattern as some of them are located behind the meter (BtM). As known as BtM …

Olfactory systems use a small number of broadly sensitive receptors to combinatorially
encode a vast number of odors. We propose a method of decoding such distributed …

NMR relaxometry can provide information about the relaxation of the magnetization in
different tissues, increasing our understanding of molecular dynamics and biochemical …

5G communications use mm-wave communications integrated with massive MIMO systems
to meet the high data rates and low delay requirements. For mm-wave propagation, some …

Abstract The Volt/Var optimization (VVO) problem is used for scheduling the voltage
regulation and reactive power compensation equipment in distribution networks to minimize …