Multi-source fMRI transfer learning on 23 HCP tasks reveals motor clusters with limited cross-paradigm transfer and uses BIP to prioritize working-memory states for direct supervision under budget constraints.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
LLMs exhibit Bayesian-like hypothesis updating with strong-sampling bias and an evaluation-generation gap but generalize poorly outside observed data.
citing papers explorer
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Beyond Single-Source Cognitive Taskonomy:Multi-Source Task Relations through fMRI Transfer Learning
Multi-source fMRI transfer learning on 23 HCP tasks reveals motor clusters with limited cross-paradigm transfer and uses BIP to prioritize working-memory states for direct supervision under budget constraints.
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Hypothesis generation and updating in large language models
LLMs exhibit Bayesian-like hypothesis updating with strong-sampling bias and an evaluation-generation gap but generalize poorly outside observed data.