Jan Peters @NeuroPeters@qoto.org
- Google Scholar Profile
- https://scholar.google.de/citations?user=jaj2E04AAAAJ&hl=eng
Biopsychology Prof. at University of Cologne. We study decision-making, gambling, reinforcement learning and impulsivity from a cognitive and computational neuroscience perspective.
#introduction Hi everyone, just got here from Twitter. I head the Biopsychology Lab at the Psychology Department at University of Cologne.
We use computational and cognitive neuroscience approaches to better understand the mechanisms underlying decision-making and learning.
More specific issues we study include mechanisms underlying problem gambling, and everything dopamine.
So how does this work, I just click "toot"?
RT @anika_loewe
New Preprint! We often learn gradually, but sometimes things occur to us in a flash, aka aha-moment. Why? We explored the comp. mechanisms of spontaneous periods of fast learning & show they arise even in simple NNs.
https://arxiv.org/abs/2302.11351
We are excited to announce that Cognitive Computational Neuroscience (CCN) 2023 will take place this year in Oxford from August 24 - 27, 2023. The conference will take place at the Examination Schools – more information can be found here:
www.venues.ox.ac.uk/our-venues/examination-schools/.
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Confirmed speakers for this year's CCN include Stan Dehaene, Helen Barron, Cate Hartley, Jay McClelland and Tim Kietzmann TimKietzmann@neuromatch.social
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We also want to note that the paper submission period will be earlier this year than in previous years: abstract submissions will open end of January, and will close March 31.
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For the most up-to-date information about CCN 2023, including reminders about deadlines, join our mailing list (https://mail.securecms.com/mailman/listinfo/ccneuro-announce) and also follow us here on Twitter (https://twitter.com/CogCompNeuro) or Mastodon (https://mastodon.social/@CogCompNeuro@qoto.org)
Please boost!!
This is huge. The German science foundation requests publicly accessible final reports of all funded studies to enhance the visibility of null results.
RT @dfg_public@twitter.com
Projekt-#Abschlussberichte: Einheitliche Grundlagen sollen #DFG-Projekte besser erschließen, die Verwendung d. Gelder und (auch negative) #Forschungsergebnisse transparenter machen. Entspr. Muster gelten für die meisten ab 1.1.23 bewilligten Anträge. Mehr:
https://www.dfg.de/foerderung/info_wissenschaft/info_wissenschaft_23_01
🐦🔗: https://twitter.com/dfg_public/status/1609863489757093889
JOB ALERT! @mike_yassa@twitter.com and I are seeking a postdoc/staff scientist for a newly funded project examining long term memory and reinforcement learning in anhedonia w\ model-based fMRI. Lots of room for growth and setting your own research agenda. Please reach out with any questions!
The lab's work on Tyrosine effects on model-based control and temporal discounting is now out @PLOS at PlosCompBiology:
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010785
Have a good start in 2023 everybody!
Btw, this is our first preregistered fMRI study (data, code, prereg: https://osf.io/9uzm8/). Reassuring to see many replications in preregistered ROIs.
Here goes the lab’s first preprint-toot: Our work on appetitive cue exposure effects on temporal discounting (led by Kilian Knauth) is now out https://www.biorxiv.org/content/10.1101/2022.11.21.517327v1
Exposure to appetitive cues might increase temporal discounting, but by what mechanism? Some have suggested this might be driven by such cues activating the reward circuit, but this was never tested directly.
Kilian directly tested this idea by combining fMRI with computational modeling (n=38). While exposure to appetitive cues robustly increased reward circuit activation, temporal discounting was unaffected.
Individual differences in neural reward effects were not reliably associated with individual differences in behavioral effect.
Taken together, reward circuit activation associated with appetitive cue exposure seems to be insufficient to drive increased temporal discounting.
RNNs of RNNs. Sorry for the cross-platform post but this is cool.
https://twitter.com/Leokoz8/status/1590037169158361088?s=20&t=aQD8WQdHKRAoAT98BhS48w
I am a neuroscientist and PI of the neuroMADLAB (University of Bonn & Tübingen).
We investigate neurobiological mechanisms of #motivation, action, & desire to develop novel treatments for #reward dysfunction across disorders. To this end, we stimulate brains and model behavior and #brain responses.
We are passionate about #openscience, #scicomm, & #mentalhealth
Find out more about our work at www.neuromadlab.org
I've been using #AnnotatedEquations in my recent papers. I think it really adds to the readability and understanding of the math.
Here are some examples. It uses #tikz in #latex.
Let me know if you like it. Happy for any feedback.
For everyone who has recently joined Mastodon
An Unofficial Guide to Mastodon
https://fedi.tips
How to Mastodon - The New Social Media
https://www.youtube.com/watch?v=mrsiej2dpBY
10 Quick Mastodon Tips
https://axbom.com/mastodon-tips/
A futuristic guide to Mastodon for 2021
https://wordsmith.social/elilla/a-futuristic-mastodon-introduction-for-2021
An Increasingly Less Brief Guide to Mastodon
https://github.com/joyeusenoelle/GuideToMastodon
You can also find some other good guides on YouTube.
#introduction Hi everyone, just got here from Twitter. I head the Biopsychology Lab at the Psychology Department at University of Cologne.
We use computational and cognitive neuroscience approaches to better understand the mechanisms underlying decision-making and learning.
More specific issues we study include mechanisms underlying problem gambling, and everything dopamine.
So how does this work, I just click "toot"?
- Google Scholar Profile
- https://scholar.google.de/citations?user=jaj2E04AAAAJ&hl=eng
Biopsychology Prof. at University of Cologne. We study decision-making, gambling, reinforcement learning and impulsivity from a cognitive and computational neuroscience perspective.
