Benedict Delisle Burns. 22 February 1915—6 September 2001. (4th June 2020)

• Record Type: Journal Article
• Authors: Richards, Christopher D.; Bliss, Timothy V. P.
• Is Part Of: Biographical memoirs of Fellows of the Royal Society. Volume 68(2020)
• Page Start: 49
• Page End: 70
• Publication Date: 2020-06-04
• Subjects: Scientists -- Obituaries -- Periodicals; Scientists -- Great Britain -- Obituaries -- Periodicals; Biography -- Periodicals; 509.2241
• DOI: 10.1098/rsbm.2019.0049
• Languages: English
• ISSNs: 0080-4606

Abstract

Abstract : Ben Burns was a pioneer of operations research and of the statistical analysis of neuronal activity. During the war, Ben served in Solly Zuckermann's operations research unit, which included a period of active service in the Mediterranean. After the war he worked with G. L. Brown at the National Institute for Medical Research (NIMR), where he investigated the effects of agents that affected neuromuscular transmission. In 1950 he moved to the Physiology Department of McGill University in Montreal, where he explored the properties of neural networks in neurologically isolated slabs of cerebral cortex and established the mechanisms responsible for maintaining rhythmic periods of excitation in isolated nerve networks. He subsequently provided evidence that self-re-exciting neural networks were implicated in establishing the respiratory rhythm. While at McGill, Ben initiated a number of highly original cross-disciplinary studies concerning the physiological bases of learning, memory and attention. He returned to NIMR in 1966 to head the Division of Physiology and Pharmacology, where he continued his investigations of visual perception. Ben was an ingenious experimenter and devised a number of mechanical and electronic devices for the statistical analysis of nerve cell activity at a time when digital computers were largely unavailable for biological work. In his 1968 book, The uncertain nervous system, he expressed his view that the interdisciplinary nature of central neurophysiology required of those who studied it a knowledge of classical physiology, experimental psychology, applied mathematics and electronic engineering. His broad view of the subject inspired a generation of students.