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The photoreceptor cells of the retina are subject to a greater number of genetic diseases than any other cell type in the human body. The majority of more than 120 cloned human blindness genes are highly expressed in photoreceptors. In order to establish an integrative framework in which to understand these diseases, we have undertaken an experimental and(More)
This paper describes a neurostimulation IC for use in advanced closed-loop neurostimulation applications, such as deep brain stimulation (DBS) for treatment and research of neurological disorders including Parkinson’s disease. This system senses and filters neural activity with eight pre-amplifiers, a 200 kS/s 8-bit log ADC and digital filters and(More)
Materials and designs are presented for electronics and sensors that can be conformally and robustly integrated onto the surface of the skin. A multifunctional device of this type can record various physiological signals relevant to health and wellness. This class of technology offers capabilities in biocompatible, non-invasive measurement that lie beyond(More)
Some recent work on the ADI-FDTD method for solving Maxwell’s equations in 3-D have brought out the importance of extrapolation methods for the time stepping of wave equations. Such extrapolation methods have previously been used for the solution of ODEs. The present context (of wave equations) brings up two main questions which have not been addressed(More)
Animals use tails to improve locomotion performance; here we assess how the biomimetic MIT Cheetah robot can do the same. Analysis proves that for a given power and weight, tails can provide greater average torque than reaction wheels for the short times of interest in high speed running. A simple tail controller enables the cheetah to perform aerial(More)
Almost all the difficulties that arise in the numerical solution of Maxwell’s equations are due to material interfaces. In case that their geometrical features are much smaller than a typical wave length, one would like to use small space steps with large time steps. The first time stepping method which combines a very low cost per time step with(More)
Stock trading is an important decision-making problem that involves both stock selection and asset management. Though many promising results have been reported for predicting prices, selecting stocks, and managing assets using machine-learning techniques, considering all of them is challenging because of their complexity. In this paper, we present a new(More)