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Updated: Jan 31, 2026

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在Courbage-Nekorkin-Vdovin神经元地图模型中精确地确定尖端时间:统计方法和基于FPGA的实现方法

Nimet Korkmaz1

  • 1Department of Electrical and Electronics Engineering, Kayseri University, 38280, Kayseri, Turkey.

Bio Systems
|January 29, 2026
PubMed
概括

这项研究分析了Courbage-Nekorkin-Vdovin (CNV) 模型中的神经动力学,比较了双精度和固定点算术的尖峰时间. 它验证了在现场可编程网关数组 (FPGA) 上的硬件实现可行性.

关键词:
库尔贝奇尼科尔金维多文 (CNV) 神经元地图模型现场可编程门阵列 (FPGA)固定点算术的算术.平均值 + K × 标准偏差方法.中位数+K × 中位数绝对偏差 (MAD) 方法.z分数规范化方法

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