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Found 5 papers, 1 papers with code
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.
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
+1
How do we generalize?
Here, as the first step, we introduce some of these candidate mechanisms and we discuss the issues currently hindering better synthesis of generalization research.
Attention or memory? Neurointerpretable agents in space and time
In neuroscience, attention has been shown to bidirectionally interact with reinforcement learning (RL) processes.
