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 ...

eDepartments of Physiology and Clinical Neurophysiology, BABA Center, Paediatric Research Center, Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland In ...

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 ...

The structural features of a synapse help determine its function. Synapses are extremely small and tightly packed with vesicles and other organelles. Visualizing synaptic structure requires imaging by ...

Caption: Truss structure problem, proposed by Christensen in his book. See the reference for more information. As an academic project, I developed a 2D topology optimization of a truss structure (see ...

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, ...

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 ...