Nikolaus Kriegeskorte

@KriegeskorteLab

Vision, neural networks, and open brain science. RT means "This may deserve more attention". Like means "I have read this (e.g. paper) and think it's solid."

Joined June 2014

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Nikolaus Kriegeskorte
@KriegeskorteLab
Aug 28
To learn how brains compute, we need to experimentally adjudicate among competing computational hypotheses. How do we do this in the age of complex neural network models? New review paper: “Making models disagree to learn how brains compute” with @TalGolanNeuro, @SchuettHeiko
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Nikolaus Kriegeskorte
@KriegeskorteLab
Aug 13
Talk videos of the amazing workshop "Toward AI with Human Level Efficiency" organized by Ilker Yildirim et al. at Yale... cnclgithub.github.io/yale-ai-worksh… with @T_BrookeWilson, @KanwisherLab, Josh Tenenbaum, Leyla Isik, @todd_gureckis, @tommccoy, Alex Lew, and Leslie Kaelbling.
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Nikolaus Kriegeskorte
@KriegeskorteLab
Aug 9
In this podcast interview with speed cuber Sanjay Adireddi, he and I discuss an imaginary research program on how humans solve Rubik's cube...
Nikolaus Kriegeskorte
@KriegeskorteLab
Jun 19
The ironic thing about sincerity is that it runs the risk of being insincere.
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Nikolaus Kriegeskorte
@KriegeskorteLab
Jun 8
“A call to abandon the conventional boundaries between computer vision and robot learning, and instead ponder the problems that arise when we seek to build machines that both perceive and act.”
Vincent Sitzmann
@vincesitzmann
Feb 16
In my recent blog post, I argue that "vision" is only well-defined as part of perception-action loops, and that the conventional view of computer vision - mapping imagery to intermediate representations (3D, flow, segmentation...) is about to go away. vincentsitzmann.com/blog/bitter_le…
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