This paper presents polychronous oscillatory cellular neural networks, designed for solving
graph coloring problems. We propose to apply the Potts model to the four-coloring problem, …

Subthreshold analog circuits are attractive for low-power, large-scale neuromorphic systems.
However, subthreshold currents are exponentially sensitive to temperature and device …

This paper presents a hybrid analysis and simulation method, which provides accurate,
quantitative insight of noise in active mixers. The hybrid approach combines equations …

… where Kf is a process-dependent parameter, W is the channel width, L is the channel length,
and Cox is the oxide capacitance per unit area. The NMF of the MOS flicker noise can then …

This paper presents quantum computing gate emulation using polychronous oscillatory
cellular neural networks. The oscillatory neural network consists of locally interacting ring …

This paper presents a hybrid frequency domain method to analyze and efficiently simulate
injection locked oscillators (ILOs). We combine the recently developed general theory of …

To convert a subthreshold current to a pulse frequency efficiently and predictably, we
designed a silicon soma that conserves energy with current feedback and lessens thermal …

We present an approach to characterizing and modeling spiking neurons based on the
theory of the impulse sensitivity function (ISF). The ISF concept, originally developed for the …

This paper proposes high-order differential edge modulation signaling (DEMS) for high-speed
wireline links. We examine the performance of DEMS and present expressions for the …

This letter describes a differential edge modulation signaling scheme for a wireline link
where the edge position is differentially modulated on a pair of wires such that data bits are …