Explore recent advances, challenges, and future prospects in decoding cognitive function using magnetoencephalography (MEG) in this 31-minute lecture by Dimitrios Pantazis from MIT's McGovern Institute for Brain Research. Delve into the conceptual framework of MEG decoding, including time-resolved techniques and representational similarity analysis. Examine practical examples such as decoding the orientation of contrast edges and learn about temporal generalization of decoding. Address key conceptual issues like classifier selection, interpretation of decoding accuracies and weights, and the differences between single-stimulus and condition decoding. Gain insights into cross-time decoding and its implications for understanding cognitive processes.