QnAs with Terrence J. Sejnowski

摘要

For most of his career, Terrence Sejnowski, a professor of computational neuroscience at the Salk Institute for Biological Studies and a Howard Hughes Medical Institute investigator, has peered at the brain with pin-sharp precision. By using simulations to make sense of experimental data, Sejnowski has helped link biophysical processes in the brain to human behavior. His research has revealed insights into a raft of phenomena from vision to sleep to brain disorders. They could lead to practical benefits: Bestriding the fields of computational biology, neuroscience, psychology, and education, Sejnowski and other researchers hope to usher the age of machine learning into the real world. Sejnowski tells PNAS how using machines to model and emulate human behavior could make a difference in our lives.