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🎓 15 fully funded #PhD positions in EU-funded Doctoral Network. 🧪🧠 We lead Project 7 (@spinozacentre.bsky.social & @nin-knaw.bsky.social): 4-year PhD combining 7T MRI + MEG with computational modelling of vision & individual differences. Apply: indibrain.eu #AcademicJobs
Our team's new publications cover the Nature portfolio! 🧪🧠 - Vision & touch (Nature, rdcu.be/eSsZR) - Psychedelics (Nat Commun, rdcu.be/eSsZ2) - Binocular rivalry (Nat Hum Behav, rdcu.be/eSsYW) - CSF mobility (Nat Neurosci, rdcu.be/eSs0c) - Numerical cognition (Commun Biol, rdcu.be/eSs0p)
Hope to see you at the 10th European Vision and Cognition Meeting (EVCM)! nin.nl/evc-meeting
Happy New Year! Rare images of snowy Spinoza in MRI chill mode. ❄️
15 fully funded PhD positions in EU-funded Doctoral Network (IndiBrain). We lead Project 7 (@spinozacentre.bsky.social, @nin-knaw.bsky.social): biologically inspired models of individual observers combining 7T MRI + MEG, focusing on vision and recurrent processing. 4-year PhD. Apply: indibrain.eu
New today in @Nature: your visual cortex contains touch-based body maps. bit.ly/VisualBodyMaps Your brain transforms what you see into first-person, body-referenced codes: A previously unknown bridge between vision and touch.
Excited to share that my first article is now published in Communications Biology! Humans and many animals have an innate ability to rapidly perceive numerosity—the number of objects in a visual scene. But how does our brain process this fundamental capability? Read the full paper: rdcu.be/eRxMi
🧠 PhD position: computational brain origami. Fully funded 4-year PhD on a new NWO-funded project combining 7T MRI, population receptive field mapping, and computational neuroscience to understand why human brains fold the way they do. 📢 vacatures.knaw.nl/job/Amsterda... #PhD #Neuroscience #Hiring
In sports, we celebrate 1st, 2nd, 3rd. Everyone else gets lumped together. Why? Using 7T MRI, pRF modelling, and artificial neural networks, we show that tuning underlies ordinality perception, with most neural populations preferring early ordinalities. doi.org/10.1523/JNEU... 🧪🧠
With Shir Hofstetter and @dagnsci.bsky.social at @nin-knaw.bsky.social and @spinozacentre.bsky.social
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