Nonlinearity in trial-wise learning rates as a function of prediction errors under an exponential-logarithmic assumption.

<p><b>(A)</b> The parameters δ and λ from <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013445#pcbi.1013445.e009" target="_blank">Eq 7</a> are coarsely sampled for illustration purposes. When the parameter combinations p...

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Bibliographic Details
Main Author:	Boluwatife Ikwunne (22238697) (author)
Other Authors:	Jolie Parham (22238700) (author), Erdem Pulcu (517414) (author)
Published:	2025
Subjects:	Cell Biology Science Policy Mental Health Biological Sciences not elsewhere classified readily available datasets g ., linear dynamically changing environments agent &# 8217 xlink "> reinforcement logarithmic etc .) learning rates space learning rates accumulate learning </ p agents perform learning novel rl model learning rates novel experiment logarithmic function human reinforcement temporal predictions prediction errors physiological correlates learners observe key components exact nature coefficient used based adaptions
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Nonlinearity in trial-wise learning rates as a function of prediction errors under an exponential-logarithmic assumption.

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