Explore the intricacies of auditory cortical computation in this comprehensive lecture by Josh McDermott from MIT. Delve into the complexities of auditory input processing, starting with an examination of typical sound stimuli and the listener's interest in identifying their worldly origins. Analyze the standard peripheral auditory model and the linear spectrotemporal filtering approach in auditory cortex modeling. Investigate the potential for improved models through task-based system training, while acknowledging inherent limitations. Compare behavioral aspects such as speech recognition in noisy environments, sound localization, and pitch perception between computational neural networks and human performance. Discover how task performance correlates with the ability to predict neural responses and examine example metamers from various convolutional stages. Gain valuable insights into the ongoing debate between timing and "place" information in auditory processing.