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Coumarane Tirou

@coumt.bsky.social
22 followers 85 following 6 posts

Ph.D. student @ Lyon Neuroscience Research Center (CRNL)

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Reposted by Coumarane Tirou
Dezső Németh @nemeth.bsky.social · 03/09/2026
Why are younger children so good at learning new skills? One reason may be that they are better at a fundamental cognitive mechanism: statistical learning. We followed the same children from age 7 to 14 and found that this learning gradually decreases as they grow older. doi.org/10.1038/s414...
doi.org
Longitudinal evidence for decreasing statistical learning abilities across childhood - Nature Communications
Through statistical learning, people extract patterns from the environment to predict future events. In a longitudinal study, the authors show that statistical learning declines with age and that high...
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Reposted by Coumarane Tirou
romquentin.bsky.social @romquentin.bsky.social · 21/08/2026
Very proud of Coumarane Tirou on his first first-author paper, now out in Nature Communications. On how the brain learns hidden regularities through noise using two distinct neural mechanisms. Huge congrats !! 🥳
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Coumarane Tirou @coumt.bsky.social · 19/08/2026
#statisticallearning #neuroscience #cognitiveneuroscience #MEG #NatureCommunications
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Coumarane Tirou @coumt.bsky.social · 19/08/2026
👥 Warm thanks to all co-authors: @oabdoun.bsky.social, @teodoravekony.bsky.social, Laure Tosatto, Andrea Brovelli, Marine Vernet, @nemeth.bsky.social, and especially @romquentin.bsky.social for his guidance and support.
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Coumarane Tirou @coumt.bsky.social · 19/08/2026
First comes Predictive Activity, when the brain predicts the upcoming stimulus. Then comes Representational Change, an increase in brain pattern similarity between associated stimuli. 📄 Find out more: www.nature.com/articles/s41...
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Coumarane Tirou @coumt.bsky.social · 19/08/2026
🧠 How do you learn a sequence through noise? We used MEG recordings of participants performing a visuo-motor task containing both predictable and random stimuli, and found that statistical learning of non-adjacent dependencies is supported by two neurally and temporally dissociable mechanisms.
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Coumarane Tirou @coumt.bsky.social · 19/08/2026
🚨 New paper alert! Happy to share my first paper, "Learning regularities in noise engages both neural predictive activity and representational changes", has been published in Nature Communications. www.nature.com/articles/s41...
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Coumarane Tirou @coumt.bsky.social · 29/07/2026
🚨 Exciting new replication paper on neural predictions in humans using an open dataset! All details below 👇
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Reposted by Coumarane Tirou
romquentin.bsky.social @romquentin.bsky.social · 28/07/2026
🧠 Does the brain pre-activate feature-specific patterns resembling the perception of an upcoming, predictable stimulus? We reanalyzed the open dataset from Demarchi et al. (2019) and found no evidence of feature-specific neural pre-activation during auditory predictions. 🧵
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Reposted by Coumarane Tirou
romquentin.bsky.social @romquentin.bsky.social · 03/06/2026
Introducing DeepEpiX ! An open-source software for automated epileptic spike detection in MEG recordings ( soon EEG)! Visualization + annotation + 3 deep learning models, all in one GUI. 📄 DeepEpiX paper: doi.org/10.1016/j.jn... 💻 Software & code: github.com/MEL-Eduwell-...
github.com
GitHub - MEL-Eduwell-lab/DeepEpiX
Contribute to MEL-Eduwell-lab/DeepEpiX development by creating an account on GitHub.
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