Ann Kring

Ann Harrison

ANN in High Dimensions

1.1 Hypercube and Hamming distance Definition 1.1 The set of points Hd = {0, 1} is the d-dimensional hypercube. A point p = (p1, . . . , pd) ∈ Hd can be interpreted, naturally, as a binary string p1p2 . . . pd. The Hamming distance dH(p, q) between p, q ∈ Hd, is the number of coordinates where p and q disagree. It is easy to verify that the Hamming distance comply with the triangle inequality, ...

Elizabeth Ann Morgenthien

Count data obtained in developmental toxicity-teratogenicity studies, such as the number of fetal deaths or the number of malformed fetuses per litter, are routinely analyzed by univariate statistical methods. Such methods ignore the dependence among the different outcomes that are measured in the study. Tests of significance based upon the individual outcomes may lead to incorrect conclusions ...

Ann-Shyn Chiang

The standfirst of the feature “Shining new light on the brain” (Curr. Biol. (2011), 21, R831–R833) stated that optogenetic control of neurons has only been around for six years. It has now come to our attention that the fundamental concept of targeting sensitivity to light to specific neurons, so that their electrical activity could be controlled optically, was established several years before ...

To Ann - Sofie

To reduce latency and increase bandwidth to memory, modern microprocessors are designed with deep memory hierarchies including several levels of caches. For such microprocessors, the service time for fetching data from off-chip memory is about two orders of magnitude longer than fetching data from the level-one cache. Consequently, the performance of applications is largely determined by how we...