54 min listen
BI 055 Thomas Naselaris: Seeing Versus Imagining
FromBrain Inspired
ratings:
Length:
86 minutes
Released:
Dec 9, 2019
Format:
Podcast episode
Description
Thomas and I talk about what happens in the brain’s visual system when you see something versus imagine it. He uses generative encoding and decoding models and brain signals like fMRI and EEG to test the nature of mental imagery. We also discuss the huge fMRI dataset of natural images he’s collected to infer models of the entire visual system, how we’ve still not tapped the potential of fMRI, and more.
Thomas's lab website. Papers we discuss or mention: Resolving Ambiguities of MVPA Using Explicit Models of Representation. Human brain activity during mental imagery exhibits signatures of inference in a hierarchical generative model.
Thomas's lab website. Papers we discuss or mention: Resolving Ambiguities of MVPA Using Explicit Models of Representation. Human brain activity during mental imagery exhibits signatures of inference in a hierarchical generative model.
Released:
Dec 9, 2019
Format:
Podcast episode
Titles in the series (100)
BI 008 Joshua Glaser: Supervised ML for Neuroscience: Mentioned in the show The two papers we discuss: The Roles of Supervised Machine Learning in Systems Neuroscience Machine learning for neural decoding Kording lab, where Josh did his PhD work by Brain Inspired