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An Appetitive Spatial Working Memory Task for Mice in a Semi-Automated 8-Arm Radial Maze, Reducing Fearful Memory Association in the Maze
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Rats use memory confidence to guide decisions.

Hannah R Joo1, Hexin Liang2, Jason E Chung3

  • 1Medical Scientist Training Program, University of California, San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, Center for Integrative Neuroscience, University of California, San Francisco, 675 Nelson Rising Lane, San Francisco, CA 94158, USA; Department of Physiology, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA; Department of Psychiatry, University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94158, USA.

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|September 2, 2021
PubMed
Summary
This summary is machine-generated.

Rats demonstrated memory confidence by adjusting their bets in a spatial memory task. This study introduces a unified model of memory dynamics, retrieval, choice, and confidence in rats.

Keywords:
behaviorconfidencedecision makingdeep neural networkmachine learningmemorymetamemoryratspatial memory

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Animal Behavior

Background:

  • Memory retrieval guides future behavior, with humans assessing memory trustworthiness (confidence).
  • The relationship between memory retrieval, confidence, and decision-making remains poorly understood.
  • Specifically, how memory confidence influences decision-making processes is unknown.

Purpose of the Study:

  • To investigate the link between memory retrieval, confidence, and decision-making in rats.
  • To determine if rats exhibit memory confidence and utilize it in decision-making.
  • To develop a computational model explaining memory dynamics, retrieval, choice, and confidence.

Main Methods:

  • Developed a spatial memory task where rats gambled time for rewards based on choice accuracy.
  • Analyzed rat behavior, specifically temporal betting patterns as an indicator of memory confidence.
  • Applied machine learning to identify a memory decision variable and created a generative model of memory evolution.

Main Results:

  • Rat behavior reflected memory confidence, with increased temporal bets following correct choices.
  • A machine learning approach identified a memory decision variable.
  • A generative model accurately predicted rat choices and confidence reports, demonstrating memory dynamics over time.

Conclusions:

  • Rats exhibit memory confidence, similar to abilities previously thought exclusive to primates.
  • The study introduces a unified computational model for memory dynamics, retrieval, choice, and confidence.
  • Findings advance our understanding of memory-based decision-making across species.