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English(EN) Single-Entity Spiking Neuron Models: Survey

综述论文详述生物学上可行的神经系统模型

一篇新发表在arXiv上的综述论文详细介绍了对生物学上可行的神经系统进行数学建模的各种方法。该论文根据模型共有的特征和特定应用对其进行分类和表征。它考察了脉冲模型以及离散和连续的模拟模型,以准确模拟膜电位动力学等生物过程。所选模型的审查依据是它们广泛的应用以及旨在提高信息相关性的新颖视角。 AI

排序理由 该集群包含一篇发表在arXiv上的综述论文,详细介绍了科学研究。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

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综述论文详述生物学上可行的神经系统模型

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该集群包含一篇发表在arXiv上的综述论文,详细介绍了科学研究。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Albert Nasybullin ·

    单实体脉冲神经元模型:综述

    In this work, we reviewed different approaches in mathematical modeling of biologically plausible neural systems. Models are characterized and classified based on their common features and special use cases. In addition to spiking models, different types of discrete and continuou…