Naturalistic reinforcement learning

T Wise, K Emery, A Radulescu - Trends in Cognitive Sciences, 2024 - cell.com
Humans possess a remarkable ability to make decisions within real-world environments that
are expansive, complex, and multidimensional. Human cognitive computational …

[HTML][HTML] Fear attenuation collaborations to optimize translation.

MH Monfils, HJ Lee, M Raskin, Y Niv… - Behavioral …, 2024 - psycnet.apa.org
Here, we describe the efforts we dedicated to the challenge of modifying entrenched
emotionally laden memories. In recent years, through a number of collaborations and using …

Dissecting the complexities of learning with infinite hidden Markov models

SA Bruijns, International Brain Laboratory, K Bougrova… - bioRxiv, 2023 - biorxiv.org
Learning to exploit the contingencies of a complex experiment is not an easy task for
animals. Individuals learn in an idiosyncratic manner, revising their approaches multiple …

Controllability and cause in human collaboration

L Spiering, H Trier, J O'Reilly, N Kolling, M Wittmann… - bioRxiv, 2024 - biorxiv.org
There has been considerable interest in how we ascertain whether an environment is
controllable and the neural mechanisms mediating this process. An especially acute version …

Species-conserved mechanisms of abstract rule learning promote cognitive flexibility in complex environments

F Bähner, T Popov, N Boehme, S Hermann, T Merten… - bioRxiv, 2022 - biorxiv.org
Flexible decision making in complex environments is a hallmark of intelligent behavior but
the underlying learning mechanisms and neural computations remain elusive. Through a …

[PDF][PDF] Why some simple probabilistic rules are difficult to learn: A hypothesis diffusion model

J Chen, T Teng, Y Shao, H Zhang - 17th Annual Meeting of the …, 2024 - 2024.ccneuro.org
People are known for their ability to learn probabilistic rewarding rules of the environment in
both laboratory and real-world settings. However, in a series of experiments, we found that …

[PDF][PDF] The developmental trajectories of generalization and discrimination in reinforcement learning reflect multiple underlying cognitive processes

W Chen, AT Nakamura, J Ding, N Okada, S Koike… - files.osf.io
A hallmark of human intelligence is the ability to appropriately generalize past experiences
to new scenarios. Organizing concepts into categories allows the brain to generalize …

Correction: Humans combine value learning and hypothesis testing strategically in multi-dimensional probabilistic reward learning

PLOS Computational Biology Staff - PLOS Computational Biology, 2022 - journals.plos.org
The Funding information for this article is incomplete. The correct Funding statement is: This
work was supported by Grant R01DA042065 from the National Institute of Drug Abuse (YN) …