We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional ...

Abstract: This paper presents a new five-level T-type nested neutral point clamped (T-NNPC) converter. The proposed five-level T-NNPC topology is very attractive for medium-voltage applications as it ...

Abstract: This paper proposes a model predictive control (MPC) strategy for a nested neutral point-clamped (NNPC) converter to control output currents and voltages of flying capacitors. The NNPC ...

Animals encounter and remember multiple experiences daily. During sleep, hippocampal neuronal ensembles replay past experiences and preplay future ones. Although most previous studies investigated ...

The simple config files are assumed to be ordinary text (.txt) files. The syntax of the files is designed to be very similar to the YAML syntax. configuration data can be stored as key/value pairs, ...

The brain’s ability to navigate to rewards is crucial for survival, relying on memory of paths while avoiding unpredictable threats. Our investigation, by building a biologically plausible spiking ...

Blood-brain barrier (BBB) is a major barrier to drug delivery into the brain in the treatment of central nervous system (CNS) diseases. Blood-brain barrier penetrating peptides (BBPs), a class of ...

Hierarchically-organized data arise naturally in many psychology and neuroscience studies. As the standard assumption of independent and identically distributed samples does not hold for such data, ...

High Resolution Melt (HRM) is a versatile and rapid post-PCR DNA analysis technique primarily used to differentiate sequence variants among only a few short amplicons. We recently developed a ...

Many complex networks are composed of “modules” that form an interconnected network. We sought to elucidate the nature of the brain’s modular function by testing the autonomy of the brain’s modules ...