Leon Glass | |
---|---|
Born |
Brooklyn, New York |
March 29, 1943
Institutions |
University of Edinburgh University of Chicago University of Rochester McGill University |
Alma mater |
Brooklyn College University of Chicago |
Doctoral advisor | Stuart Rice |
Notable awards |
Guggenheim Fellowship (1994) Royal Society of Canada Fellow (1998) American Physical Society Fellow (1999) Society for Industrial and Applied Mathematics Fellow (2009) |
Leon Glass (born 1943) is an American scientist who has studied various aspects of the application of mathematical and physical methods to biology, with special interest in vision, cardiac arrhythmia, and genetic networks.
Leon Glass was born in Brooklyn, NY where he attended Erasmus Hall High School (Class of 1959) and majored in Chemistry at Brooklyn College (Class of 1963). He obtained a Ph.D. in Chemistry in 1968 from the University of Chicago studying theory of atomic motions in simple liquids. He was a Postdoctoral Fellow in Machine Intelligence and Perception (University of Edinburgh), Theoretical Biology (University of Chicago), and Physics and Astronomy (University of Rochester).
In 1975, Glass joined the Department of Physiology at McGill University, where he is now Professor and the Isadore Rosenfeld Chair in Cardiology. He was awarded a Guggenheim Fellowship in 1994 and is a Fellow of the Royal Society of Canada (1998), the American Physical Society (1999), and the Society for Industrial and Applied Mathematics (2009). Leon Glass is a father of two and lives in Montreal, Canada.
Glass is also a French horn player, and is part of the executive committee of the I Medici di McGill Orchestra, an orchestra consisting mainly of McGill University's medical students and professors.
Glass' early work and eponymous patterns were fostered by mentor Christopher Longuet-Higgins, who guided him in the application of statistical methods to visual perception. Glass patterns are formed from superimposed random dot patterns: an original image with a second image which has been generated through a linear or nonlinear transformation of the original. A variety of different spatial patterns such as circles, spirals, hyperbolae, can be perceived in the superimposed image set, depending on the nature of the transformation between the two sets of dots. This discovery provided insight into mathematical nature of human perception by suggesting that the visual cortex is capable of computing a large number of in parallel.