Neuronal networks are high-dimensional graphs that are packed into three-dimensional nervous tissue at extremely high density. Comprehensively mapping these networks is therefore a major challenge.

CATALOG DESCRIPTION: Fundamental concepts in electrical circuits; circuit analysis and network theorems; linearity and superposition; series/parallel combinations of R, L, and C circuits; sinusoidal ...

This course focuses on hands-on skills of electrical circuit analysis, electronics, and signal processing designed for biomedical engineering students. This is the first course in the biomedical ...

Insects show a variety of species-specific innate behaviors (instinctive behaviors). For example, a worker honeybee that has found flower nectar exhibits 8-shape waggle-dances upon returning to its ...

Following historically from the earlier work of Blackman, Gray and Searle, Cochrun and Grabel (and Rosenstark) are some newer circuit analysis methods developed by R. D. Middlebrook of Caltech. This ...

We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a metanalysis and the effect that these studies might have had on its outcome. These ...

Co., Ltd. recently submitted a patent application titled "An Optimization Method, Device, and Medium for Circuit Break Prevention in AI Computing Architecture." This patent focuses on addressing ...

Problems requiring regression analysis of censored data arise frequently in practice. For example, in accelerated testing one wishes to relate stress and average time to failure from data including ...