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用遗传算法参数化模拟多隔间神经元

Raphael Stock1, Jakob Kaiser1, Eric Müller2

  • 1Kirchhoff Institute for Physics, Heidelberg University, Heidelberg, 69120, Germany.

Open research Europe
|December 13, 2024
PubMed
概括

遗传算法通过复制刺激后突触潜力 (EPSP) 衰减来有效地对模拟神经形态硬件进行参数化. 这种方法绕过了对特定领域知识的需求,简化了神经元模型校准.

关键词:
模拟计算是一种模拟计算.遗传算法是一种遗传算法.多个分区的多个分区.这是一个神经形态神经形态的神经形态.

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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