@peters_lab

Biological Psychology Group @UniCologne, Decision Neuroscience, Reinforcement learning, Gambling, tweets by @NeuroPeters

 Cologne, Germany
hf.uni-koeln.de/38105
Joined August 2017
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New @biorxivpreprint from the lab: Dopamine and temporal discounting - revisiting pharmacology and individual differences @bioDGPs_DGPA @dfg_public biorxiv.org/content/10.1101/…

Dopamine and temporal discounting: revisiting pharmacology and individual differences

Disorders characterised by changes in dopamine (DA) neurotransmission are often linked to changes in the temporal discounting of future rewards. Likewise, pharmacological manipulations of DA neurot...

biorxiv.org
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Are you passionate about Open Science and Open data! Join us as a Postdoc at Bielefeld University to shape the future of "Living Analyses" in collaboration with @ZPID ! Ready to make a difference?🔗 Apply here: tinyurl.com/chv4cfuy)
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Congratulations to Dilan on winning the best poster award!
Joseph Kambeitz@joseph_kambeitz3 Sep 2024
Great poster session & three fantastic poster awardees from this years (and first) Cologne Summer School for Biological Psychiatry: Dilber Korkmaz, Karin Prillinger and Marc Feger! Was great fun to guide the session with Marc Tittgemeyer and @koeniglab!
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The human literature on dopamine and temporal discounting is quite messy, with studies reporting various effects, which could be due to meaningful individual differences in drug effects and/or false positive findings in small samples (n/2)
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We found no credible evidence for a modulation of drug effects by commonly-used dopamine proxy measures (working memory capacity, eye blink rate, impulsivity) (n/5)
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This project was led by Elke Smith, with support from many others - we hope it helps to clarify some of the inconsistencies in the literature. (TheEnd)
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📢 Open positions in my group, part of the @sfb_trr289, at @SysNeuroHamburg Postdoc / PhD positions affective expectation effects in Hamburg psychjob.eu/de/job/postdoc-p…
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👇this deep dive into habits promises to be super interesting #PuG2024
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Our first RNN modeling paper on #exploration during RL is now out in @CompBrainBeh: link.springer.com/article/10…

Exploration–Exploitation Mechanisms in Recurrent Neural Networks and Human Learners in Restless...

Computational Brain & Behavior - A key feature of animal and human decision-making is to balance the exploration of unknown options for information gain (directed exploration) versus selecting...

link.springer.com
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#4: analyses of hidden units can help to build bridges to systems neuroscience work on RL and decision-making.
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Thanks to the @dfg_public for funding. Code + data: github.com/deniztu/p1_genera…

GitHub - deniztu/p1_generalization: This repository contains code for my first paper comparing...

This repository contains code for my first paper comparing reinforcement learning between human learners and artificial recurrent neural networks. - deniztu/p1_generalization

github.com
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New work from the lab on meta #reinforcement #learning and #exploration #RL in RNNs: biorxiv.org/content/10.1101/…

A meta reinforcement learning account of behavioral adaptation to volatility in recurrent neural...

Natural environments often exhibit various degrees of volatility, ranging from slowly changing to rapidly changing contingencies. How learners adapt to changing environments is a central issue in...

biorxiv.org
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.. this capacity depends on training experience: only networks exposed to sufficient volatility during training show volatility adaptation during test, and associated performance benefits. (3/n)
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Work led by @DTuzsus with @JohnPappas10, @am_brands and @NeuroPeters and funded by @dfg_public (TheEnd)
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