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Office of NIH History
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Marshall Nirenberg is best known for “breaking the genetic code” in 1961, an achievement that won him the Nobel Prize. But what exactly is the genetic code? And how did he decipher it? This exhibit will explore genetics research in the 1950s and 1960s and explain the importance of Nirenberg's experiments and...
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Marshall Warren Nirenberg - Wikipedia, the free encyclopedia
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Louis Nirenberg (born 28 February1925) is a Canadian-born mathematician, known for his work on partial differential equations. He was born in Hamilton, Ontario. He studied as an undergraduate at McGill University, and as a graduate and doctoral student at New York University. He became a professor...
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Nirenberg is the surname of the following people: Louis Nirenberg (born 1925), mathematician Marshall Warren Nirenberg (born 1927), biochemist and geneticist John Nirenberg (born 1947), professor and citizen Nirenberg...
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Features information on the repository for his papers held at the National Library of Medicine. Includes a selection of papers available in digital format. Marshall W. Nirenberg (b. This online Exhibit is designed to introduce you to the various phases of Nirenberg's scientific career and professional life.
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Marshall Warren Nirenberg was born in New York City on April 10th, 1927, the son of Harry and Minerva Nirenberg. The family moved to Orlando, Florida in 1939. He early developed an interest in biology. In 1948 he received a B. Nirenberg's thesis, performed under the guidance of Dr. From Les Prix Nobel en 1968,
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Provides details of the 1968 Nobel prize awarded for their interpretation of the genetic code and its function in protein synthesis. Includes lectures and biography. Marshall W. Nirenberg Cornell University Ithaca, NY, USA University of Wisconsin Madison, WI, USA National Institutes of Health Bethesda, MD, USA...
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Do retinal ganglion cells act as independent encoders? Sheila Nirenberg UCLA Correlated firing among neurons is a widespread phenomenon in the visual system. Neighboring neurons, in areas from retina to cortex, tend to fire together more often than would be expected by chance.
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Ruling out and ruling in neural codes Sheila Nirenberg Weill Medical College of Cornell University The subject of neural coding has generated much debate. For example, the strength of coarse coding is that it's robust to fluctuations in spike arrival times.
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