Selective memory generalization by spatial patterning of protein synthesis

Cian O'Donnell, Terrence J Sejnowski

Research output: Contribution to journalArticle (Academic Journal)peer-review

28 Citations (Scopus)

Abstract

Protein synthesis is crucial for both persistent synaptic plasticity and long-term memory. De novo protein expression can be restricted to specific neurons within a population, and to specific dendrites within a single neuron. Despite its ubiquity, the functional benefits of spatial protein regulation for learning are unknown. We used computational modeling to study this problem. We found that spatially patterned protein synthesis can enable selective consolidation of some memories but forgetting of others, even for simultaneous events that are represented by the same neural population. Key factors regulating selectivity include the functional clustering of synapses on dendrites, and the sparsity and overlap of neural activity patterns at the circuit level. Based on these findings, we proposed a two-step model for selective memory generalization during REM and slow-wave sleep. The pattern-matching framework we propose may be broadly applicable to spatial protein signaling throughout cortex and hippocampus.

Original languageEnglish
Pages (from-to)398-412
Number of pages15
JournalNeuron
Volume82
Issue number2
DOIs
Publication statusPublished - 16 Apr 2014

Keywords

  • Animals
  • Computer Simulation
  • Generalization (Psychology)
  • Humans
  • Membrane Potentials
  • Memory
  • Models, Neurological
  • Nerve Net
  • Neurons
  • Probability
  • Protein Biosynthesis
  • Synapses
  • Time Factors

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