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Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes.

Susanna Yu Gordleeva1,2, Yuliya A Tsybina1, Mikhail I Krivonosov1

  • 1Scientific and Educational Mathematical Center "Mathematics of Future Technology," Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.

Frontiers in Cellular Neuroscience
|April 19, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new computational model for working memory (WM) using spiking neuron networks and astrocytes. The model demonstrates successful information storage and retrieval, achieving over 90% accuracy in complex tasks.

Keywords:
astrocytedelayed activityneuron-astrocyte interactionspiking neural networkworking memory

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Area of Science:

  • Computational neuroscience
  • Astrocytes biology
  • Neural networks

Background:

  • Working memory (WM) is crucial for cognitive functions.
  • Existing computational models often lack biological plausibility.
  • The role of astrocytes in neural computation is increasingly recognized.

Purpose of the Study:

  • To propose a novel, biologically plausible computational model of working memory (WM).
  • To investigate the role of astrocyte-neuron interactions in information storage and retrieval.
  • To demonstrate the model's capability in handling complex WM tasks.

Main Methods:

  • Utilizing a spiking neuron network (SNN) of Izhikevich neurons.
  • Incorporating a network of astrocytes with calcium signaling and gliotransmitter release.
  • Encoding information as 2D patterns of current pulses and retrieving via noisy cue patterns.

Main Results:

  • The neuron-astrocyte network successfully stored information patterns for several seconds.
  • Achieved over 90% accuracy in recalling information from a multi-item WM task, even with noisy cues.
  • Astrocytes were found to store neuronal activation traces and modulate synaptic plasticity for recall.

Conclusions:

  • The proposed model provides a biologically plausible mechanism for working memory.
  • Astrocyte networks play a significant role in the dynamics of information storage and retrieval in WM.
  • The model aligns with classical WM concepts and offers a new framework for computational neuroscience research.