Derives and tests ULI, a method to infer underdamped Langevin dynamics from realistic experimental trajectories with discrete sampling and measurement errors.
u ckner , author A. Fink , author J. O. \ R \
3 Pith papers cite this work, alongside 29 external citations. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Introduces a quantum-analogue cloud-function model for large-scale sensory processing in the brain and uses it to account for post-decisional changes of mind via interplay of fast and slow neural dynamics.
LLMs achieve higher accuracy than humans on compositional imagery tasks previously argued to require pictorial representations, supporting emergent propositional mental imagery in AI.
citing papers explorer
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Inferring the dynamics of underdamped stochastic systems
Derives and tests ULI, a method to infer underdamped Langevin dynamics from realistic experimental trajectories with discrete sampling and measurement errors.
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A Quantum-Analogue Formalism for Modeling Supraliminal Information Processing
Introduces a quantum-analogue cloud-function model for large-scale sensory processing in the brain and uses it to account for post-decisional changes of mind via interplay of fast and slow neural dynamics.
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Artificial Phantasia: Emergent Mental Imagery in Large Language Models
LLMs achieve higher accuracy than humans on compositional imagery tasks previously argued to require pictorial representations, supporting emergent propositional mental imagery in AI.