在Erlang中通过消息传递对神经网络的增长和动态建模:神经模型在消息传递函数式编程语言中有一个天然的家

Trevor Bain, Patrick Campbell, Jonas Karlsson
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引用次数: 3

摘要

Erlang非常适合作为神经动力学建模和开发的平台。我们概述了Erlang中神经架构和语言范例之间的相似之处,特别是函数式编程、消息传递、分布式计算和并发。我们分别介绍了使用Erlang建模神经动力学和开发的例子。最后,我们将这两个例子合成为一个人工视网膜,然后我们总结了正在进行的工作的概述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling growth and dynamics of neural networks via message passing in Erlang: neural models have a natural home in message passing functional programming languages
Erlang is well suited as a platform for modeling neural dynamics and development. We overview similarities between neural architecture and language paradigms in Erlang, specifically functional programming, message passing, distributed computing and concurrency. We present examples of using Erlang to model neural dynamics and development respectively. Finally, we synthesize these two examples into an artificial retina and then we conclude with an overview of ongoing work.
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