Lack of reviewers threatens robustness of neuroscience literature
Simple math suggests that small groups of scientists can significantly bias peer review.
Broad peer review is crucial for a healthy scientific literature, but neuroscientists turn down review requests too often. Simple math suggests that small groups of scientists can significantly bias the literature, writes @jvoigts.bsky.social.
#neuroskyence
www.thetransmitter.org/publishing/l...
02.03.2026 15:04
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26.02.2026 16:15
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14.01.2026 17:22
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07.02.2025 16:18
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Opportunity alert for students/postdocs looking to learn how to do creative experimental neuroscience that is guided by ideas and not by what tools are currently available (or affordable).
14.01.2025 13:24
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Special thanks:
@earlkmiller.bsky.social @jeromelecoq.bsky.social @apeyrache.bsky.social @gauteeinevoll.bsky.social
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Lisa Giacomo, Luca Mazzocato, Stephanie Palmer, Andre Fenton, Satrajit Ghosh, Christophe Bernard, Zhe Chen, Anna Devor, Soledad Gonzalo
25.11.2024 15:25
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Thank you for your service
17.11.2024 12:57
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I made a systems neuroscience starter pack, focused on experimentalists who study the brain at the level of populations of neurons!
Also want to be on the list? Reply or DM me a picture of your ephys rig or 2p setup and I'll add you π€
go.bsky.app/UiqX7ry
11.11.2024 07:50
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It's been a joy to work with the amazing team that made this possible. This technology is already allowing us to study the brain during more natural behavior, and we can't wait to see what the neuro community does with this.
11.11.2024 17:34
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This does seem quite bad, especially for trainees and people new to specific fields.
05.10.2024 16:23
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Iβm at #SfN2024 poster W29,Tues PM, showing Tzuhsuan Maβs work on howπreason about complex spaces: they use sparse subsets of paths and seem to reason about them as extended objectsπ€We also have an open PD pos. to work on neural dynamics / theory<>exp in sequential reasoning / naturalistic behavior.
05.10.2024 14:44
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Very much did not intend that as negative! Imo the MRI field managed to solve many of the issues we face in systems neuro.
08.12.2023 20:30
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MRI is also a great success story of providing access to technical expertise, support, and amazing standardized analysis pipelines. Imo we can learn from this in other areas. Of course boundary pushing work (and analysis/stats) always requires depth on understanding how the sausage is made!
08.12.2023 20:28
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I was debating whether that was a good example or not. I agree with what you're saying, the major point I wanted to make was that there's a huge amount of complexity that's been packaged into a machine that a well trained non expert can use. This is not the case in many systems neuro experiments.
08.12.2023 20:25
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