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Prikvačeni tweet
After close to 3 years of hard work, this is finally out today in BioRxiv, and calls for my first ever twitter thread! In this paper, we uncover how the brain decides which strategy to rely on when learning from observing others. 1/https://www.biorxiv.org/content/10.1101/828723v1 …
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Caroline Charpentier proslijedio/la je Tweet
new paper! https://www.biologicalpsychiatrycnni.org/article/S2451-9022(20)30016-1/fulltext … "Improving the reliability of computational analyses: model-based planning and its relationship with compulsivity" w/Becca Price,
@clairegillanTCD, & Jiazhou Chen. tl;dr: model-based planning can be reliable, but methods have a big effect!
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Caroline Charpentier proslijedio/la je Tweet
New from
@jddwor Extent & drivers of gender imbalance in neuroscience reference lists https://tinyurl.com/yfw26jy2 . w/@Penn_SIVE,@perryzurn, Teich, Linn. Covering issues of bias, ethics, & social behavior vital to all fields grappling with their own visions of an equitable future.pic.twitter.com/lzM0ZJGhXU
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Caroline Charpentier proslijedio/la je Tweet
Interested in doing a PhD on the computational neuroscience of mental health? Only few more days to apply for this fantastic PhD programme: https://www.ucl.ac.uk/mental-health/study/ucl-wellcome-4-year-phd-mental-health-science … If you fancy me as your supervisor - please get in touch.
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Caroline Charpentier proslijedio/la je Tweet
What a year... I won’t even try to summarise it - but nothing would have been possible without your support. So thank you! This coming decade humanity will decide it’s future. Let’s make it the best one we can. We have to do the impossible. So let’s get started. Happy new year!pic.twitter.com/SXTmdyBpkP
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Caroline Charpentier proslijedio/la je Tweet
Can neurons recorded from human amygdala tell us sth about social cognition? We recorded from 202 cells: activity correlated to values received by others and the expectation of others receiving rewards! Distinct neurons seem to be doing self learning vs. observational learning!https://twitter.com/biorxivpreprint/status/1202979003403001857 …
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Caroline Charpentier proslijedio/la je Tweet
3 and 4-year funded PhD positions in social decision neuroscience! come and work with me on projects using computational modelling, fMRI, lifespan and patient populations. Please RT
@TheCHBH@IMH_UoB@UoB_SoP ESRC: https://www.findaphd.com/phds/project/neurobiological-basis-of-social-decision-making/?p115962 … BBSRC:https://www.findaphd.com/phds/project/behavioural-and-brain-mechanisms-of-social-decision-making/?p115327 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Caroline Charpentier proslijedio/la je Tweet
re: turk issues, I did a bit more digging and think it is valuable to see how the wonderful worker community themselves reacted to the NYTimes article. it is quite a bit different than you might think... a few links and a thought (thread)
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Groundbreaking work showing intact brain functional networks in hemispherectomy patients, from
@Caltech colleague and friend Dorit Kliemann (not on twitter). Link to paper: https://www.sciencedirect.com/science/article/pii/S2211124719313816?via%3Dihub …https://twitter.com/NYTHealth/status/1196895688992448514 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Awesome new work dissociating learning from safety and from danger in relation to psychopathology!https://twitter.com/toby_wise/status/1196461319462895616 …
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Caroline Charpentier proslijedio/la je Tweet
Ever wondered what would happen if 70 different groups analyzed the same fMRI dataset? The pre-print of our http://NARPS.info project is out https://www.biorxiv.org/content/10.1101/843193v1 … !
@russpoldrack@rotembot@flxhlzmstr@CFCamerer@ten_photos 1/9Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Caroline Charpentier proslijedio/la je Tweet
Professor Tamar Makin from UCL PALS has published an article in eLIFE on “Ten common statistical mistakes to watch out for when writing or reviewing a manuscript”. Read here: https://elifesciences.org/articles/48175 pic.twitter.com/EuF1u5TAB4
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Personal note: running a full fMRI replication is time-consuming and not easy, but ultimately it is better science and I learned a TON throughout the process, which I hope will facilitate future replication projects. Huge thanks to co-authors Kyo Iigaya & John O’Doherty! 11/
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Finally, we have here a concrete example of how replicability (or lack thereof) of neuroimaging data can be leveraged to inform and improve theoretical understanding of cognition in a way that would not have happened otherwise. 10/
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… but it is also one of the first demonstrations of the use of pre-registration in a computational fMRI study (see https://osf.io/37xyq ) – a methodological advance and good news for establishing a high level of replicability while restricting analytical flexibility. 9/
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We believe this manuscript constitutes both a scientific and methodological advance. Not only do we provide a novel neuro-computational account of imitation learning, emulation learning, and the arbitration between them... 8/
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Arbitration signals were found in the right vlPFC (similar to arbitration between model-free and model-based learning in experiential learning), rACC and right TPJ (suggesting an additional engagement of social inference processes unique to OL). 7/pic.twitter.com/fhXv3A9zEF
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We thus set out to revise (and simplify) the imitation component of our model and update the overall arbitration scheme accordingly. Not only did we find robust imitation signals across studies, but this new model also explained the behavioral data better. 6/pic.twitter.com/tCZz34HJ1p
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Now, replications are never perfect, and while the pre-registered fMRI results pertaining to the emulation and arbitration signals replicated very robustly across studies, the imitation signals replicated less well. 5/pic.twitter.com/DkbL1J4FAo
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In two independent fMRI datasets (the second a preregistered replication of the first), we show that behavior is best explained by a combination of imitation & emuation, confirm the predictions of our computational model, and replicate the behavioral findings. 4/pic.twitter.com/01nua7y9p8
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Our theory was that the brain would keep track of how uncertain each strategy is in a given context, and assign control to the most reliable strategy. To test that, we designed a novel task, manipulating experimental variables to separate the reliability of each strategy. 3/pic.twitter.com/hR7Yxfj9XG
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