Davide Sometti's Avatar

Davide Sometti

@zds7.bsky.social

PhD student at @unituebingen.bsky.social‬

26 Followers  |  32 Following  |  7 Posts  |  Joined: 17.11.2024  |  1.8745

Latest posts by zds7.bsky.social on Bluesky

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Sensory expectations shape neural population dynamics in motor circuits Nature - Experiments with human volunteers and macaques show that expectations produced by probabilistic cueing of future sensory inputs shape motor circuit dynamics in order to increase the...

Thrilled that our paper is out today in Nature!
www.nature.com/articles/s4...

29.10.2025 16:11 — 👍 292    🔁 98    💬 11    📌 8
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a woman in front of a white board with the words take your time written on it ALT: a woman in front of a white board with the words take your time written on it

📢 Deadline extended! 📢

The registration deadline for #SNS2025 has been extended to Sunday, September 28th!

Register here 👉 meg.medizin.uni-tuebingen.de/sns_2025/reg...

PS: Students of the GTC (Graduate Training Center for Neuroscience) in Tübingen can earn 1 CP for presenting a poster! 👀

17.09.2025 13:11 — 👍 6    🔁 6    💬 0    📌 0
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Are top-down feedback connections enough for robust vision?

We found ConvRNN with top-down feedback exhibiting OOD robustness only when trained with dropout, revealing a dual mechanism for robust sensory coding

with @marco-d.bsky.social, Karl Friston, Giovanni Pezzulo & @siegellab.bsky.social

🧵👇

18.08.2025 11:18 — 👍 52    🔁 15    💬 5    📌 1
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🔵 Proud to share our new preprint 🔵

We compared humans and deep neural networks on sound localization 👂📍

Humans robustly localized OOD sounds even without primary interaural cues (ITD & ILD)

Models localized well only in-training distribution sounds, failing on OOD regime

Link & full story 🧵👇

09.08.2025 11:04 — 👍 37    🔁 12    💬 4    📌 4
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Frontocentral brain networks amplify action-oriented temporal prediction errors Successful sensorimotor behavior depends on anticipating when a tactile event will occur and translating it into rapid action, yet it remains unclear how action requirements shape temporal prediction ...

Our results underscore the central role of action in human cognition, with motor-centric error encoding likely conferring advantages for adaptive and flexible behaviour.

Thanks to Rossetti, Schwarz, @siegellab.bsky.social , Braun and @agreco.bsky.social

www.biorxiv.org/content/10.1...

08.08.2025 07:05 — 👍 6    🔁 1    💬 0    📌 0
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Finally, cross-decoding analysis showed significant pattern generalization only when the motor output was identical but not when the sensory input was held constant, suggesting that temporal prediction errors were primarily encoded in a motor rather than sensory space.

08.08.2025 07:05 — 👍 0    🔁 0    💬 1    📌 0
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Crucially, we found action-oriented prediction error encoding even when controlling for motor confounds by removing motor-evoked activity from the original data, indicating that the effect was not just a motor artifact.

08.08.2025 07:05 — 👍 0    🔁 0    💬 1    📌 0
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By fitting prediction error trajectories to the brain data, we found that error signals were amplified when a response was required following the tactile stimulation, compared to when the stimulus was passively received.

08.08.2025 07:05 — 👍 0    🔁 0    💬 1    📌 0
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Multivariate decoding analyses highlighted a distributed frontocentral 🧠 network linked to tactile-motor associations which predicted reaction-time variability across trials.

08.08.2025 07:05 — 👍 0    🔁 0    💬 1    📌 0
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We recorded MEG while participants received temporally jittered finger stimulations, either just perceiving them (stimulus only) or reacting as fast as possible (stimulus response), allowing us to dissect how action demands shape the brain’s encoding of temporal expectations.

08.08.2025 07:05 — 👍 0    🔁 0    💬 1    📌 0
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🧠⏱️ New preprint!
We found that temporal prediction errors are more strongly encoded when an overt response is required, and this encoding occurs in motor rather than sensory space.

www.biorxiv.org/content/10.1...
🧵👇

08.08.2025 07:05 — 👍 5    🔁 3    💬 1    📌 1
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🔵 Tübingen Systems Neuroscience Symposium 2025 is here! 🔵

#SNS2025 brings together leading international researchers in system neuroscience 🧠

Join us for plenary lectures, poster sessions and social events on 6️⃣-7️⃣ October 2️⃣0️⃣2️⃣5️⃣

registration is open here 👉 meg.medizin.uni-tuebingen.de/sns_2025/

08.07.2025 21:03 — 👍 26    🔁 16    💬 1    📌 3
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🚨 NEW PAPER 🚨

Psychedelics alter cognition profoundly, but is the alteration of the visual perception causally related to high-level cognition modulation?

In VR, we found that simulated visual hallucinations affect high-level human cognition in specific ways!

Link 👉 doi.org/10.1016/j.co...

🧵👇

27.01.2025 11:24 — 👍 11    🔁 3    💬 1    📌 1
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Changing Better by Sharing Abandoned Work (Relevant May Not Be Enough) - Gavin M. Schwarz, 2025

You cannot decode perceived basic emotions categories using fMRI MVPA in just the amygdala... We've tried it, you've tried it, everyone's tried it, no one's talked about it... It doesn't work.

The amygdala doesn't work like that.

journals.sagepub.com/doi/10.1177/...

12.01.2025 08:00 — 👍 100    🔁 19    💬 1    📌 2
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🔵 NEW PAPER 🔵

Spatiotemporal Style Transfer #STST is out on #NatureComputationalScience!

STST as a framework for dynamic visual stimulus generation to study brain and machine vision

feat. @siegellab.bsky.social
paper: www.nature.com/articles/s43...
code: github.com/antoninogrec...

🧵👇

20.12.2024 12:31 — 👍 14    🔁 9    💬 1    📌 2

I was fucking joking!

25.11.2024 13:30 — 👍 121    🔁 28    💬 9    📌 3
Four raincloud plots: a normal distribution, bimodal, skewed, and one riddled with outliers. Popular sample statistics are identical so that mere plotting of the identical means and confidence intervals would miss these qualitative differences.

Four raincloud plots: a normal distribution, bimodal, skewed, and one riddled with outliers. Popular sample statistics are identical so that mere plotting of the identical means and confidence intervals would miss these qualitative differences.

abstract of pre-print

abstract of pre-print

The Raincloud Quartet (new pre-print)

All N = 111, M = 0.04, SD = 0.27.
One-sided t-tests vs. 0 yield: t(110) = 1.67, p = .049.

Only raincloud plots reveal the qualitative differences, preventing the drawing of inappropriate conclusions.

How did we create the quartet?
Where are data & code?
🧵👇

23.11.2024 13:17 — 👍 128    🔁 39    💬 10    📌 4

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