150 - Kendrick Kay: Large-scale fMRI Datasets and What to Consider
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150 - Kendrick Kay: Large-scale fMRI Datasets and What to Consider
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このコンテンツについて
In this episode, Elizabeth chats with Dr. Kendrick Kay, an Associate Professor in Radiology at University of Minnesota, Twin Cities. He directs the Computational Visual Neuroscience Laboratory, and aims to understand brain function by combining cognitive neuroscience, functional MRI methods, and computational neuroscience. In this episode, Kendrick shares his work on the groundbreaking Natural Scene Dataset and discusses the behind-the-scenes considerations that went into its creation. He also outlines important points for brain scientists to think about when creating and using large-scale fMRI datasets, and shares parts of his journey as a scientist.
Discussed Papers in Podcast:
- A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
- Principles of intensive human neuroimaging
Kendrick’s website: http://cvnlab.net
Elizabeth’s: website: imelizabeth.github.io
Elizabeth’s BlueSky: @imelizabeth.bsky.social
Podcast BlueSky @StanfordPsyPod.bsky.social
Podcast Twitter @StanfordPsyPod
Podcast Substack https://stanfordpsypod.substack.com/
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