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Noisy Memory Generates Value in Changing Environments.

Jorge Ramírez-Ruiz1, R Becket Ebitz1

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Summary
This summary is machine-generated.

Mnemonic errors in episodic memory can enhance sequential decision-making. Imperfect Memory Programs (IMPs) and lossy agents (LIMPs) approximate value-based decision-making, suggesting memory imperfections can improve, not impair, cognitive functions.

Keywords:
memory errorsprobabilistic choicevalue integration

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Behavioral Economics

Background:

  • Episodic memory's role in sequential decision-making is debated.
  • Standard models integrate rewards, unlike memory recall.
  • Previous work introduced Imperfect Memory Programs (IMPs) for memory-based decision-making.

Purpose of the Study:

  • To develop biologically plausible approximations of IMPs called lossy agents (LIMPs).
  • To investigate how memory imperfections influence sequential value-based decision-making.
  • To explore if mnemonic errors can improve decision performance.

Main Methods:

  • Developed lossy agents (LIMPs) with 1-bit reward memory and probabilistic encoding failures.
  • Evaluated IMPs and LIMPs in classic decision-making tasks.
  • Analyzed the impact of differential encoding probabilities for rewards and omissions.

Main Results:

  • LIMPs and IMPs performed comparably or better than perfect memory agents.
  • These agents generated decision-making patterns resembling value-based computations.
  • Adjusting encoding probabilities allowed trade-offs in matching/maximizing and flexibility/stability.

Conclusions:

  • Episodic agents can approximate value-based agents using realistic memory noise.
  • Mnemonic errors can potentially improve decision-making performance.
  • Memory imperfections offer an alternative explanation for behavioral correlates of 'value'.