Retrospective memory integration accompanies reconfiguration of neural cell assemblies.

Journal: Hippocampus
PMID: 34935236

Abstract

Memory is a dynamic process that is based on and can be altered by experiences. Integrating memories of multiple experiences (memory integration) is the basis of flexible and complex decision-making. However, the mechanism of memory integration in neural networks of the brain remains poorly understood. In this study, we built a recurrent spiking network model and investigated the neural mechanism of memory integration before a decision is made (retrospective memory integration) at the neural circuit level. Our simulations suggest that retrospective memory integration accompanies reconfiguration of neural cell assemblies. Additionally, partially blocking neural network plasticity leads to failure of memory integration. These findings can potentially guide the experimental investigation of the neural mechanism of retrospective memory integration and serve as the basis for developing new artificial intelligence algorithms.

Authors

  • Ye Wang
    College of Computer Science and Technology, Jilin University, Changchun 130012, China.
  • Yaling Deng
    Neuroscience and Intelligent Media Institute, Communication University of China, Beijing 100024, China.
  • Lihong Cao
    State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China.
  • Jiahong Zhang
    State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China.
  • Lei Yang
    George Mason University.

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