Fabian Schneider
Doctoral researcher at the University Medical Centre Hamburg-Eppendorf (UKE). Interested in memory, audition, semantics, neural coding, spiking networks.
http://mvpy.tools
- Reposted by Fabian SchneiderOur work with @georgkeller.bsky.social on testing predictive processing (PP) models in cortex is out on biorvix now! www.biorxiv.org/content/10.6... A short thread on our findings and thoughts on where we should move on from PP below.
- Same sound, different perception: Do expectations change what you hear?👂🧠 We paired faces w topics and played the same ambiguous speech w different faces. The brain sharpened sensory signals toward predictions and showed gated prediction errors at higher levels. Read @plosbiology.org. Blueprint👇
- For a quick glance at our key findings, see our quoted preprint thread. Elated to finally see this published. Huge thanks to @helenblank.bsky.social, the Predictive Cognition Lab, and colleagues at @isnlab.bsky.social. This project truly took a village. 👏
- 🚨 Fresh preprint w/ @helenblank.bsky.social! How does the brain acquire expectations about a conversational partner, and how are priors integrated w/ sensory inputs? Current evidence diverges. Is it prediction error? Sharpening? Spoiler: It's both.👀 🧵1/16 www.biorxiv.org/content/10.1...
- PS: The computational cost of some of our analyses required writing a lot of custom code to put everything on GPUs. We are now working to consolidate this tooling into MVPy. If you'd like to contribute (features, docs, tests, benchmarks), come say hi!
- Reposted by Fabian SchneiderAfter 5 years of data collection, our WARN-D machine learning competition to forecast depression onset is now LIVE! We hope many of you will participate—we have incredibly rich data. If you share a single thing of my lab this year, please make it this competition. eiko-fried.com/warn-d-machi...
- Reposted by Fabian SchneiderIntroducing CorText: a framework that fuses brain data directly into a large language model, allowing for interactive neural readout using natural language. tl;dr: you can now chat with a brain scan 🧠💬 1/n
- Reposted by Fabian SchneiderHow well do classifiers trained on visual activity actually transfer to non-visual reactivation? #Decoding studies often rely on training in one (visual) condition and applying it to another (e.g. rest-reactivation). However: How well does this work? Show us what makes it work and win up to 1000$!
- Reposted by Fabian Schneider🧠 Regularization, Action, and Attractors in the Dynamical “Bayesian” Brain direct.mit.edu/jocn/article... (still uncorrected proofs, but they should post the corrected one soon--also OA is forthcoming, for now PDF at brainandexperience.org/pdf/10.1162-...)
- Reposted by Fabian SchneiderIn neuroscience, we often try to understand systems by analyzing their representations — using tools like regression or RSA. But are these analyses biased towards discovering a subset of what a system represents? If you're interested in this question, check out our new commentary! Thread:
- 🚨 Fresh preprint w/ @helenblank.bsky.social! How does the brain acquire expectations about a conversational partner, and how are priors integrated w/ sensory inputs? Current evidence diverges. Is it prediction error? Sharpening? Spoiler: It's both.👀 🧵1/16 www.biorxiv.org/content/10.1...
- 🧵2/16 We played morphed audio files (e.g., sea/tea) and had participants report which of the two words they had heard. Critically, the same morphs were played in different speaker contexts, with speaker-specific feedback reinforcing robust speaker-specific semantic expectations.
- 🧵3/16 Indeed, participants report hearing words as a function of semantic probability given the speaker, scaling with exposure. But how? Predictive coding invokes prediction errors, but Bayesian inference requires sharpening. Does the brain represent un-/expected information?
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View full thread🧵16/16 More results, details and discussion in the full preprint: www.biorxiv.org/content/10.1... Huge thanks to Helen Blank, the Predictive Cognition Lab, and colleagues @isnlab.bsky.social. Happy to discuss here, via email or in person! Make sure to catch us at CCN if you're around. 🥳
