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Remote memory in a Bayesian model of context fear conditioning (BaconREM).

Franklin B Krasne1,2, Michael S Fanselow1,2,3

  • 1Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.

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Summary

A new model of remote memory (BaconREM) explains how fear conditioning becomes independent of the hippocampus over time. It also predicts how context reminders can reverse this process.

Keywords:
Bayesiancontext fear conditioningfearhippocampusneocortexremote memorysystems consolidation

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Computational Psychiatry

Background:

  • Context fear learning is crucial for survival.
  • Remote memories typically become independent of the hippocampus.
  • Existing models explain recent fear but not remote fear phenomena.

Purpose of the Study:

  • To propose a computational model (BaconREM) of remote context fear memory.
  • To simulate and predict key aspects of remote fear memory consolidation.
  • To account for hippocampus-independence and generalization changes over time.

Main Methods:

  • Extension of the Bayesian overlapping network (BACON) model.
  • Computational simulation of rodent fear conditioning paradigms.
  • Analysis of memory consolidation and generalization under different conditions.

Main Results:

  • BaconREM predicts hippocampus-independence and hyper-generalization of remote fear.
  • The model accounts for the effects of systems consolidation on memory.
  • It also predicts that reminders can restore hippocampus-dependence and reduce generalization.

Conclusions:

  • BaconREM offers a unified explanation for remote fear memory phenomena.
  • The model suggests that remote contextual fear memory can reside in the neocortex.
  • It provides a framework for understanding memory consolidation and reconsolidation.