Scholarlink

The brain exhibits complex high-order cognitive activity, for instance, traveling waves. In the hippocampus, spatial processing and long-term memory are mediated by such waves. Due to its potential to replicate and explore these oscillatory patterns, mathematical modeling has gained significant attention. In this work, we simulate a hippocampal network and investigate the oscillations that arise within the system. Each neuron is described by the adaptive exponential integrate-and-fire model, interconnected via chemical excitatory synapses. Our findings reveal that different combinations of coupling strength and radius of connection produce different wave shapes. Moreover, we demonstrate a method for spiral waves detection. We show that the appearance of multiple spiral waves leads to global desynchronization.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Wave Patterns in a Hippocampal Network

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Diogo L. M. Souza,
  • Lucas E. Bentivoglio,
  • Fernando S. Borges,
  • Gustavo A. Sousa,
  • Patrício D. C. dos Reis,
  • Iberê L. Caldas,
  • Ricardo L. Viana,
  • Antonio M. Batista,
  • Kelly C. Iarosz

摘要

The brain exhibits complex high-order cognitive activity, for instance, traveling waves. In the hippocampus, spatial processing and long-term memory are mediated by such waves. Due to its potential to replicate and explore these oscillatory patterns, mathematical modeling has gained significant attention. In this work, we simulate a hippocampal network and investigate the oscillations that arise within the system. Each neuron is described by the adaptive exponential integrate-and-fire model, interconnected via chemical excitatory synapses. Our findings reveal that different combinations of coupling strength and radius of connection produce different wave shapes. Moreover, we demonstrate a method for spiral waves detection. We show that the appearance of multiple spiral waves leads to global desynchronization.