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Robust and brain-like working memory through short-term synaptic plasticity.

Leo Kozachkov1,2,3, John Tauber1,2,4, Mikael Lundqvist1,2,5

  • 1The Picower Institute for Learning & Memory, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America.

Plos Computational Biology
|December 27, 2022
PubMed
Summary
This summary is machine-generated.

Short-term synaptic plasticity (STSP) enhances artificial neural networks for working memory tasks. Networks with STSP exhibit more brain-like activity and improved robustness, suggesting a key role for plasticity in memory.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Artificial Intelligence

Background:

  • Working memory is traditionally attributed to sustained neural firing or attractor dynamics.
  • Emerging research suggests short-term synaptic plasticity (STSP) may support memory maintenance with minimal neural spiking.

Purpose of the Study:

  • To investigate the functional advantages of STSP in artificial recurrent neural networks (RNNs) performing a working memory task.
  • To compare the neural activity and robustness of RNNs with and without STSP.

Main Methods:

  • Training artificial recurrent neural networks (RNNs) with and without STSP on an object working memory task.
  • Analyzing network activity patterns and comparing them to non-human primate (NHP) cortical activity.
  • Assessing network resilience to simulated degradation.

Main Results:

  • Both RNNs with and without STSP maintained memories during distractors.
  • RNNs incorporating STSP demonstrated activity patterns more closely resembling NHP cortical activity.
  • RNNs with STSP exhibited greater robustness against network degradation compared to those without STSP.

Conclusions:

  • Short-term synaptic plasticity (STSP) offers functional benefits for working memory maintenance in neural networks.
  • STSP contributes to more brain-like neural activity and enhances network resilience.
  • These findings highlight the potential importance of synaptic plasticity in biological and artificial memory systems.