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Found 3 papers, 1 papers with code
Using large language models to study human memory for meaningful narratives
One of the most impressive achievements of the AI revolution is the development of large language models that can generate meaningful text and respond to instructions in plain English with no additional training necessary.
Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes
We find and characterize the connectivity patterns that support the Clifford torus.
Biases and Variability from Costly Bayesian Inference
An unpredictability cost induces underestimation of small probabilities and a fixed bias that remains appreciable even for nearly unbiased observations.
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