Decoding our thoughts: Tracking the contents of (non)-conscious working memory

Time: Tuesday 23-Jun-2020 16:00 (This is a past event.)

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Motivation / Abstract
This talk speaks to the study of consciousness and the ability to track mental representations in the brain using imaging tools and machine learning.
Questions Discussed
-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
Key Takeaways
-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
Stream Categories:
 SpotlightAuthor SpeakingML in Neuroscience