Check out the latest from Sam HallMcMaster on the role of entorhinal cortex in factorizing representations and generalization
30.01.2026 17:43
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Check out the latest from Sam HallMcMaster on the role of entorhinal cortex in factorizing representations and generalization
📘🧠💥@fabianrenz.bsky.social , @nicoschuck.bsky.social & I thought about methods to measure brain plasticity and wrote an overview of exciting new methods and developments!
Read our chapter, out now in The Oxford Handbook of Cognitive Enhancement and Brain Plasticity academic.oup.com/edited-volum...
Looking for a PhD or Postdoc position? I can only recommend working with @ondrejzika.bsky.social
If you are at #CCN2025, go say hi to @nirmoneta.bsky.social
Entorhinal cortex signals dimensions of past experience that can be generalised in a novel environment https://www.biorxiv.org/content/10.1101/2025.08.01.668096v1
Are you coming to @rldmdublin2025.bsky.social #RLDM2025?
Join our workshop on Gamification in Computational and Cognitive Neuroscience with an amazing speaker lineup! 🎮👾🧠💫
w/ @ondrejzika.bsky.social @ingrdmrtn.bsky.social
We are now accepting short talk abstracts for our workshop on gamification in cog & comp neuroscience at #RLDM2025 🎮👾🕹️
shorturl.at/0p0Jd
💙Code available github.com/luiantav/vp_... & github.com/luiantav/vp_...
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Finally, we show that trait anxiety is associated with stronger generalisation and that this overgeneralization is associated with value rather than perceptual mechanisms.
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Using computational modelling we show that we can dissociate perceptual and value-based generalisation. Response distributions (here for generalisation stimuli closest to the CS+) reflect predicted distributions.
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We predict that trial-wise rating distributions differ for perceptual & value-based generalisation (binary vs. gradual). To generalise value, participants can draw on different functions (Gaussian-like, monotonic).
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We show that outcome expectancy ratings learned for a CS+ generalise to perceptually similar stimuli - although showing different patterns.
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👻Using a pretty task involving dangerous (&scary) Spaceflowers we collect data on participants’ perceptual discriminability, aversive learning and generalisation behaviour.
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Generalisation of learned outcome expectancies to similar stimuli can result from confusing two stimuli (perceptual mechanism) or from the transfer of learned value (value mechanism).
We use a modelling approach to dissociate these two mechanisms.
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It’s a Preprint! 👋
We show how we can dissociate perceptual from value-based mechanisms of generalisation + that stronger gen. in anxiety is associated with value rather than perception.
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@ondrejzika.bsky.social @nicoschuck.bsky.social @bernhardspitzer.bsky.social
osf.io/preprints/ps...
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