Leila Wehbe: University of California at Berkeley
Speaker(s)Leila Wehbe: Studying the Brain Basis of Language with Naturalistic Experiments: Opportunities, Challenges and Progress¿
Abstract: The advent of machine learning has allowed us to supplementhypothesis-driven science with data-driven science. In neuroscience. Mostlanguage experiments to date have studied the brain by crafting conditionsdesigned to isolate a single hypothesis. My research focuses on naturalisticlanguage experiments in which subjects process a rich text, and use machinelearning and natural language processing techniques to discover and testmultiple hypotheses. In this talk, I will describe a framework for makinginferences about what the brain represents along three levels. Level 1 focuseson correct inference for a single naturalistic task (reading). Level 2 is concerned with combining data across subjects and tasks (reading, writing, speaking).Level 3 addresses the reproducibility of inferences drawn across subjects and tasks in entirely different experimental paradigms (controlled vs. naturalistic). My framework consists of a promising collaboration between machine learning, natural language processing and cognitive neuroscience that could help us better understand language processing in the brain.