AI Article Synopsis

  • New information in memory is organized based on the level of surprise or prediction error, where small errors update existing memories while large errors create new ones.
  • A study with rats showed that gradual extinction of a fear response (which involves small prediction errors) is more effective for long-term memory suppression than standard extinction methods (which involve large prediction errors).
  • This finding supports latent state theories that explain how prediction error influences memory organization and updating.

Article Abstract

How is new information organized in memory? According to latent state theories, this is determined by the level of surprise, or prediction error, generated by the new information: a small prediction error leads to the updating of existing memory, large prediction error leads to encoding of a new memory. We tested this idea using a protocol in which rats were first conditioned to fear a stimulus paired with shock. The stimulus was then gradually extinguished by progressively reducing the shock intensity until the stimulus was presented alone. Consistent with latent state theories, this gradual extinction protocol (small prediction errors) was better than standard extinction (large prediction errors) in producing long-term suppression of fear responses, and the benefit of gradual extinction was due to updating of the conditioning memory with information about extinction. Thus, prediction error determines how new information is organized in memory, and latent state theories adequately describe the ways in which this occurs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11259430PMC
http://dx.doi.org/10.7554/eLife.95849DOI Listing

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