Peters Lab
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peterslab.bsky.social
Peters Lab
@peterslab.bsky.social
Biopsychology Lab at University of Cologne - Decision Neuroscience - Gambling - Reinforcement Learning
Excellent question. Not sure, it looks like there might be circadian effect on Ghrelin levels? This might also be the reason for a sort of ceiling effect wrt the effect of sleep deprivation on Ghrelin.
October 23, 2025 at 4:44 PM
It was a big team effort, led by Ella Brands, so congrats to everyone - great to see this out.
March 20, 2025 at 7:42 AM
Results confirm that tyrosine supplementation affects reinforcement learning and decision-making functions that are thought to depend on catecholamine systems.
March 20, 2025 at 7:42 AM
Performance was improved under Tyrosine, and computational modeling showed that this was due to an increase in value-dependent exploitation, and a reduction in exploration.
March 20, 2025 at 7:42 AM
Here we studied reinforcement learning in n=63 participants (gender-balanced, within-subjects, preregistered) using a standard tyrosine dosage of 2g vs. placebo.
March 20, 2025 at 7:42 AM
Tyrosine supplementation may improve cognitive performance under some conditions, but well-powered studies on processes thought to be under catecholamine control are sparse.
March 20, 2025 at 7:42 AM
High capacity RNNs still deviated from human learners in several aspects, but our results confirm that the degree to which RNN and human behavior align substantially depends on network capacity.
March 14, 2025 at 8:46 AM
However, increasing RNN capacity increasingly increased the fit of a computational model with a directed exploration term, compared to a model without. Following a more than 10-fold increase in capacity, the majority of networks showed evidence for directed exploration similar to human learners.
March 14, 2025 at 8:46 AM
To understand how RNNs solve the task, we analyzed their behavior using a range of reinforcement learning models. RNNs with low capacity showed no evidence for directed exploration, in line with our earlier work: link.springer.com/article/10.1...
Exploration–Exploitation Mechanisms in Recurrent Neural Networks and Human Learners in Restless Bandit Problems - 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 known options for immediate reward (expl...
link.springer.com
March 14, 2025 at 8:46 AM
In such tasks, human learners often use directed exploration, that is, they tend to sample options with uncertain values for information gain.
March 14, 2025 at 8:46 AM
We studied how recurrent neural networks solve restless bandit problems, a standard reinforcement learning task frequently studied in cognitive and systems neuroscience.
March 14, 2025 at 8:46 AM
And here is the access link: authors.elsevier.com/a/1kRfA4sIRv...
authors.elsevier.com
January 16, 2025 at 2:28 AM
This is one of those pieces that really benefitted from super helpful Reviewer input, so thank you 🙏 !!!
January 16, 2025 at 2:27 AM