Peter Cariani

Peter Cariani (cariani.com)

Peter Cariani

Peter Cariani (US) is an expert on the auditory and vocal while applying computational neuroscience.

Peter Cariani is the Clinical Instructor in Otology and Laryngology of the Harvard Medical School. His current and past research themes include Auditory neurophysiology, Neural timing nets, Adaptive systems, Epistemology, Emergence, Semiotics, Cybernetics, Temporal codes, Music perception, Theoretical biology, Artificial life, and Philosophy of Mind.

He was on the faculty of the Institute for Music and Brain Science in Boston, Massachusetts, and teaches music perception and cognition in the Speech and Hearing Bioscience and Technology Program of the Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology. A graduate of MIT, where he studied biology, he earned a Ph.D. in systems science at the State University of New York at Binghamton in 1989. His doctoral work involving comparisons between biological organisms and computing machines in the context of the problem of functional emergence led to an interest in neural codes and computations in the brain. From 1990 to 2004, he carried out neurophysiological and neurocomputational investigations of the temporal coding of pitch at the Eaton Peabody Laboratory of Auditory Physiology at the Massachusetts Eye and Ear Infirmary, first as a postdoctoral fellow and then as an assistant professor in otology and layrngology at the Harvard Medical School. In 2004, he became a research assistant professor at Tufts Medical School, where he developed electrophysiological methods for studying spinal cord regeneration. Dr. Cariani has proposed a new kind of neural network (neural timing nets) that processes temporal patterns. Co-editor of a special 2001 issue of the Journal of New Music Research on neurocomputational models of music, he has published more than twenty-five papers in scientific journals.

(based on the 2006 bio from: http://humbleapproach.templeton.org/Creativity/cariani.html)


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