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Related Experiment Video

Updated: Aug 15, 2025

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
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The molecular memory code and synaptic plasticity: A synthesis.

Samuel J Gershman1

  • 1Department of Psychology and Center for Brain Science, Harvard University Center for Brains, Minds and Machines, MIT, United States of America.

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Summary

This study proposes a new computational model of memory, integrating synaptic and cellular storage mechanisms. It suggests synapses store approximate probabilities, while cell bodies store generative models for learning and inference.

Keywords:
Free energyInferenceLearningMemorySynaptic plasticity

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Cognitive Science

Background:

  • The dominant theory posits synapses store memory via modification.
  • This synaptic plasticity model faces conceptual and empirical challenges.
  • An alternative suggests intracellular molecules within cell bodies store memory.

Purpose of the Study:

  • To propose a synthesized computational model of memory.
  • To integrate synaptic and intracellular memory storage mechanisms.
  • To provide a framework for understanding learning and inference.

Main Methods:

  • Development of a computational model of memory.
  • Conceptualizing synapses as storage for approximate posterior probability distributions.
  • Conceptualizing intracellular molecules as storage for generative model parameters.

Main Results:

  • The proposed model integrates synaptic and cellular components.
  • Synapses store parameters of approximate posterior probability distributions.
  • Intracellular molecules store parameters of a generative model.

Conclusions:

  • A unified computational framework for memory is presented.
  • The model explains how synapses and cell bodies cooperate in memory.
  • This synthesis offers a novel perspective on neural computation and memory formation.