This talk speaks to the study of consciousness and the ability to track mental representations in the brain using imaging tools and machine learning.

-What is consciousness? Is it a scientifically tractable problem? -The state-of-the-art experimental designs to allow for such investigations -Methods by which we can track representations directly from the brain to reflect conscious and non-conscious processing

-Consciousness is a scientifically tractable problem that requires a set of tools to investigate -Designs to study non-conscious working memory established it as a real, unique phenomenon -ML was used to provide a data-driven, multivariate approach to differentiating between the different trial types and time-courses to provide evidence to the study’s findings -A number of different analytical tools are often required to justify new findings, some of which are dependent on domain knowledge and prior findings from the literature