29.04.2025 20:31 — 👍 3672 🔁 608 💬 60 📌 25
Human V4 size predicts crowding distance - Nature Communications
Across 49 observers, we found large variations in crowding distance and retinotopic map size. These measures covary, conserving a 1.4-mm cortical crowding distance in the human V4 map. This links the ...
“Human V4 size predicts crowding distance”.
@jankurzawski.bsky.social, now Assistant Professor at U Maastricht, led a big effort over a few years. We used individual differences in object recognition and the size of brain maps to identify a perceptual bottleneck.
www.nature.com/articles/s41...
25.04.2025 01:28 — 👍 19 🔁 8 💬 0 📌 2
The 47th European Conference on Visual Perception 2025 will be held in Mainz, Germany. We're looking forward to meet you there!
https://ecvp2025.uni-mainz.de/
My personal views on: physics, MRI and neuroscience - and sometimes more (or less).
Maastricht University. Predictive processing, learning/memory, cognitive computational neuroscience. He / him / all pronouns 🏳️🌈
Auditory neuroscientist, ultra-high field MRI, associate professor at Maastricht University
Proud father of two wonderful kids.
Professor of sensory circuits and neuro-imaging, fMRI, layers, auditory perception, computational cognitive neuroscience
Maastricht University (UM) is the youngest and most international university in the Netherlands that stands out for its global outlook, innovative education model and multidisciplinary approach to research and education.
http://www.maastrichtuniversity.nl
Assistant Professor in Cognitive Neuroscience @ Maastricht University. Magnets on my mind. Previously postdoc at CMRR, Minnesota
Vision science, Image systems engineering, MRI, Stanford. Teacher.
Image science and technology software.
Working on a new image technology book. Updating an old book Foundations of Vision.
Professor at Stanford. Education, Psychology, Pediatrics and Neuroscience. Brain Development & Education Lab. roar.stanford.edu
Professor at NYU; Scientific Director at Ctr for Computational Neurocience, Flatiron Institute. Research in Computational Vision (neurons, perception, machines). Opinions my own.
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
Notes on functional MRI and related topics.
PhD Candidate | Comp Neuro & Psych | @ NYU
🇨🇺🇺🇸
Professional dabbler in science/music/writing/art
rwoodry.github.io
I use neuroimaging and computational models to understand how we use the visual parts of the brain to remember and imagine stuff
Associate Professor in Biomedical Engineering at Mayo Clinic, views are my own.
Research Associate Professor in the Department of Psychology and Senior Data Science Fellow in the eScience Institute, University of Washington | https://arokem.org/ | https://neuroinformatics.uw.edu
Asst Professor Psychology & Data Science @ NYU | Working on brains & climate, separately | Author of Models of the Mind: How physics, engineering, and mathematics have shaped our understanding of the brain https://shorturl.at/g23c5 | Personal account (duh)
Cognitive computational neuroscientist and vision scientist. NeuroAI. Professor at Harvard University.
Behavioral neurologist and vision scientist at the University of Pennsylvania
https://www.gkaguirre.com/
Cognitive neuroscientist interested in high level vision (faces, scenes etc.), learning and plasticity. All views are my own.
Professor of psychology and visual neuroscience, (very) local, (very) blue political activist, dorky dad, cat owner
