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by @jimpick.com
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Neuroscientists reach divergent conclusions after analysing the same data. Is this surprising? Would be nice to know how specific the analysis questions and conclusions were, as it isn't obvious there is a serious problem here.
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Timothy O'Leary
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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.
www.thetransmitter.org
18 teams analyzed a neuro dataset and got different answers
The Transmitter