Studying how the brain develops
https://www.chinilab.com/
Mattia Chini
Loading...
Differences stemmed from the way researchers defined concepts, to the algorithms they used to analyze the data, to the parameters they employed when implementing the algorithms, note @mattiachini.bsky.social and Gaelle Chapuis. #neuroskyence
www.thetransmitter.org/reproducibil...
We're organizing a full-day Neuro-AI workshop at OHBM with a 90-minute-long hands-on session to cover all the nitty-gritty of it. If you're around, come join us. Besides the practical aspects, we have a stellar line-up of speakers to learn from and discuss with:
kuffmode.github.io/OHBM2026Neur...
Sounds bad. Also:
"where careers depend on novel, significant findings, the same flexibility that produced innocent disagreement at a hackathon has far greater consequences. A researcher who needs a small p-value to complete a story may be swayed by an analytical pipeline that delivers it"
So, even in #electrophysiology, where data are often treated as “hard”, substantial disagreement can occur. They too depend on definitions, thresholds, preprocessing & assumptions.
🧵1/2
Only few spots remain!
#FENS2026
Disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data.
Differences stemmed from the way researchers defined concepts, to the algorithms they used to analyze the data, to the parameters they employed when implementing the algorithms, note @mattiachini.bsky.social and Gaelle Chapuis. #neuroskyence
www.thetransmitter.org/reproducibil...
Fabrizio Musacchio
Mattia Chini
Pekka Lund
Kayson Fakhar
Disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data.
A hackathon reveals that disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data, write @mattiachini.bsky.social and Gaelle Chapuis. #neuroskyence
www.thetransmitter.org/reproducibil...
Disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data.
A must-needed benchmarking👇🏼 How much is methodological and how much is conceptual? A reason for us developing #rippl-AI github.com/PridaLab/rip... Don’t miss the next hackathon avant-FENS pre-fens-brainhack.github.io/brainhack2026/ with @acnavasolive.bsky.social & @mattiachini.bsky.social
Differences stemmed from the way researchers defined concepts, to the algorithms they used to analyze the data, to the parameters they employed when implementing the algorithms, note @mattiachini.bsky.social and Gaelle Chapuis. #neuroskyence
www.thetransmitter.org/reproducibil...
Disagreement in neuroscience runs deeper than most researchers suspect—even in electrophysiology, a field that prides itself on hard data.