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Decoding our thoughts: Tracking the contents of (non)-conscious working memory
Tuesday Jun 23 2020 16:00 GMT
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Decoding our thoughts: Tracking the contents of (non)-conscious working memory
Why This Is Interesting

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

Discussion Points

-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

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

Time of Recording: Tuesday Jun 23 2020 16:00 GMT