Abstract representations of events arise from mental errors in learning and memory

@article{Lynn2020AbstractRO,
  title={Abstract representations of events arise from mental errors in learning and memory},
  author={Christopher W. Lynn and Ari E. Kahn and Nathaniel T. Nyema and D. Bassett},
  journal={Nature Communications},
  year={2020},
  volume={11}
}
  • Christopher W. Lynn, Ari E. Kahn, +1 author D. Bassett
  • Published 2020
  • Medicine, Biology, Physics, Mathematics
  • Nature Communications
  • Humans are adept at uncovering abstract associations in the world around them, yet the underlying mechanisms remain poorly understood. Intuitively, learning the higher-order structure of statistical relationships should involve complex mental processes. Here we propose an alternative perspective: that higher-order associations instead arise from natural errors in learning and memory. Using the free energy principle, which bridges information theory and Bayesian inference, we derive a maximum… CONTINUE READING

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