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Generative AI-based closed-loop fMRI system
While generative AI is now widespread and useful in society, there are potential risks of misuse, e. g., unconsciously influencing cognitive processes or decision-making.
"Task-relevant autoencoding" enhances machine learning for human neuroscience
In human neuroscience, machine learning can help reveal lower-dimensional neural representations relevant to subjects' behavior.
Two are not always better than one: Role specialization is an important determinant of collaborative task performance
In contrast, solos performed the symmetric context better than dyads.
From internal models toward metacognitive AI
Based on mismatches between computations by generative and inverse models, as well as reward prediction errors, CRMN computes a "responsibility signal" that gates selection and learning of pairs in perception, action, and reinforcement learning.
Hierarchical Reinforcement Learning
reinforcement-learning
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