Leonard B. Meyer

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45 CURRENT DIRECTIONS IN PSYCHOLOGICAL SCIENCE ing to music is its emotional effect. And people listen to music a great deal, often hours a day. How is it that patterns of sound in time can have such a profound effect? What is it in the music that causes the emotion? Are musical emotions like other emotions? Antecedents of emotion in real life are generally(More)
The extracellular acidification rate of the human bone marrow cell line, TF-1, increases rapidly in response to a bolus of recombinant granulocyte-macrophage colony stimulating factor (GM-CSF). Extracellular acidification rates were measured using a silicon microphysiometer. This instrument contains micro-flow chambers equipped with potentiometric sensors(More)
To study the distribution and characterization of alpha-2 adrenergic receptors in the rat heart and kidney, we used light microscopic autoradiography and a computer-based image analyzer to quantify the localization of [3H]rauwolscine (RAUW) binding. Scintillation spectrometry of frozen sections of rat kidney demonstrated rapid binding, saturability,(More)
Whereas Salmonella typhimurium 7136 will not grow at reduced water activity (aw), it was survival in such items as intermediate-moisture foods is of interest. Initial studies demonstrated that the addition of 0.3 M acetate (pH 4.7) to glycerol-Trypticase soy broth (BBL Microbiology Systems) solutions (aw 0.86) reduced the viability of S. typhimurium cells.(More)
Organotypic cornea equivalents are used as in vitro models for permeation studies. Many ophthalmic drugs are applied as ester prodrugs to achieve a higher bioavailability. The esterase activity of three corneal human cell lines (epithelial, stromal, endothelial cells) as well as of excised porcine cornea, human donor cornea and human cornea construct (HCC)(More)
T he ability to construct a musical theory from examples presents a great intellectual challenge that, if successfully met, could foster a range of new creative applications. Inspired by this challenge, we sought to apply machine-learning methods to the problem of musical style modeling. Our work so far has produced examples of musical generation and(More)