Views are my own.
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
Your brain transforms what you see into first-person, body-referenced codes: A previously unknown bridge between vision and touch.
‘These results speak for themselves. However, in this digital age many scientists cannot believe results without inferential statistics. We therefore compared for each of the six stimulus locations …’ love that 😂
This has been in the works for over a decade when we were just goofing around testing sound localisation in my in-laws' kitchen... But we finally managed to do some reasonably controlled experiments on this. #psychscisky #neuroskyence
doi.org/10.1177/0301...
‘These results speak for themselves. However, in this digital age many scientists cannot believe results without inferential statistics. We therefore compared for each of the six stimulus locations …’ love that 😂
- HRF varies between visual areas
- HRF also varies with pRF stimulus designs (due to nonlinearities?)
- Esp. when fitting complex models this can skew results a lot!
#visionscience #neuroskyence
- HRF varies between visual areas
- HRF also varies with pRF stimulus designs (due to nonlinearities?)
- Esp. when fitting complex models this can skew results a lot!
#visionscience #neuroskyence
Not “challenges”. They’re choices. 😡
Not “challenges”. They’re choices. 😡
@neurodesk.org @sbollmann.bsky.social
#OpenDatasets #SpecialIssue
The effect presumably comes from the absence of S-cones in the fovea.
From Hinnerk Schulz-Hildebrandt:
arxiv.org/pdf/2509.115...
The effect presumably comes from the absence of S-cones in the fovea.
From Hinnerk Schulz-Hildebrandt:
arxiv.org/pdf/2509.115...
#MRITogether2025 #MentorMatching
#MRITogether2025 #MentorMatching
To predict the behaviour of a primate, would you rather base your guess on a closely related species or one with a similar brain shape? We looked at brains & behaviours of 70 species, you’ll be surprised!
🧵Thread on our new preprint with @r3rt0.bsky.social , doi.org/10.1101/2025...
To predict the behaviour of a primate, would you rather base your guess on a closely related species or one with a similar brain shape? We looked at brains & behaviours of 70 species, you’ll be surprised!
🧵Thread on our new preprint with @r3rt0.bsky.social , doi.org/10.1101/2025...
tinyurl.com/5d9ne68b
Amazing collab with Noah Benson and Alex Puckett! We hope this will be a helpful resource for pRF modellers and visual neuroscientists!
tinyurl.com/5d9ne68b
Amazing collab with Noah Benson and Alex Puckett! We hope this will be a helpful resource for pRF modellers and visual neuroscientists!
Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy
arxiv.org/abs/2507.03168
Work with @zejinlu.bsky.social @sushrutthorat.bsky.social and Radek Cichy
arxiv.org/abs/2507.03168
#psychscisky #neuroskyence #visionscience
tstbl.co/820-917
#psychscisky #neuroskyence #visionscience
tstbl.co/820-917
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
🧵 1/n
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