AI/ML Seminar Series: How do we evaluate our own uncertainty? Uncovering our metacognitive computations Event Logo

AI/ML Seminar Series: How do we evaluate our own uncertainty? Uncovering our metacognitive computations

by Information and Computer Sciences

Lecture Academics ICS Speaker Technology

Mon, May 17, 2021

1 PM – 2 PM PDT (GMT-7)

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Megan Peters
Assistant Professor, Department of Cognitive Sciences
UC Irvine

Bio: In March 2020 I joined the UCI Department of Cognitive Sciences. I’m also a Cooperating Researcher in the Department of Decoded Neurofeedback at Advanced Telecommunications Research Institute International in Kyoto, Japan. Prior to that, from 2017 I was on the faculty at UC Riverside in the Department of Bioengineering. I received my Ph.D. in computational cognitive neuroscience (psychology) from UCLA, and then was a postdoc there as well. My research aims to reveal how the brain represents and uses uncertainty, and performs adaptive computations based on noisy, incomplete information. I specifically focus on how these abilities support metacognitive evaluations of the quality of (mostly perceptual) decisions, and how these processes might relate to phenomenology and conscious awareness. I use neuroimaging, computational modeling, machine learning and neural stimulation techniques to study these topics.

YouTube Stream: https://youtu.be/i9Cenn0stxE

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