🔗 florianmahner.github.io
💻 github.com/florianmahner
Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are.
osf.io/preprints/ps...
Have you ever computed noise ceilings to understand how well a model performs? We wrote a clarifying note on a subtle and common misapplication that can make models appear quite a lot better than they are.
osf.io/preprints/ps...
Here, we critique a recent paper by Rosas et al. We argue that "Bottom-up" and "Top-down" neuroscience have various meanings in the literature.
PDF: rdcu.be/eSKYI
Here, we critique a recent paper by Rosas et al. We argue that "Bottom-up" and "Top-down" neuroscience have various meanings in the literature.
PDF: rdcu.be/eSKYI
The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen.bsky.social.
Please apply here until Nov 25:
www.uni-giessen.de/de/ueber-uns...
The position is funded as part of the Excellence Cluster "The Adaptive Mind" at @jlugiessen.bsky.social.
Please apply here until Nov 25:
www.uni-giessen.de/de/ueber-uns...
🤔 Deep neural nets (DNNs) often align with humans in performance and even representations — but do they "think" like us?
📄 “Dimensions underlying the representational alignment of deep neural networks with humans”
🤔 Deep neural nets (DNNs) often align with humans in performance and even representations — but do they "think" like us?
📄 “Dimensions underlying the representational alignment of deep neural networks with humans”
www.nature.com/articles/s42...
www.nature.com/articles/s42...
In a new preprint with @martinhebart.bsky.social & @kathadobs.bsky.social, we show that category-selective areas encode a rich, multidimensional feature space 🌈
www.biorxiv.org/content/10.1...
#neuroskyence
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In a new preprint with @martinhebart.bsky.social & @kathadobs.bsky.social, we show that category-selective areas encode a rich, multidimensional feature space 🌈
www.biorxiv.org/content/10.1...
#neuroskyence
🧵 1/n
www.nature.com/articles/s44...
This primer is for beginners to get started, advanced programmers to improve, and PIs.
#psychology #psychsci #cogsci #neuroskyence
www.nature.com/articles/s44...
This primer is for beginners to get started, advanced programmers to improve, and PIs.
#psychology #psychsci #cogsci #neuroskyence
Spoiler: It's about modularity in mid-level vision. 🤓
Original paper:
doi.org/10.1093/brai...
Commentary:
doi.org/10.1093/brai...
Spoiler: It's about modularity in mid-level vision. 🤓
Original paper:
doi.org/10.1093/brai...
Commentary:
doi.org/10.1093/brai...