New Models of Human Hearing via Machine Learning

Explore cutting-edge research on human auditory perception through machine learning in this 49-minute lecture by Josh McDermott from MIT. Delve into the latest efforts to develop neural network models that simulate human auditory abilities and their implementation in the brain. Discover how these advanced models have significantly improved our understanding of real-world auditory behavior and auditory cortex function. Learn about the potential applications of this research in designing innovative auditory prosthetics and assessing their impact on behavioral capabilities. Gain insights into the intersection of AI, psychology, and neuroscience as they relate to lower-level intelligence and human hearing.