BCPy2000年BCPy2000 |
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课程网址: | http://videolectures.net/mloss08_hill_bcpy/ |
主讲教师: | Jeremy Hill |
开课单位: | 马克斯普朗克生物控制论研究所 |
开课时间: | 2008-12-20 |
课程语种: | 英语 |
中文简介: | BCPy2000 Jeremy Hill,马克斯·普朗克生物控制论研究所,德国图宾根,BCPy2000为基于BCI2000.org项目的实验性脑机接口系统的快速、灵活开发提供了一个平台。从开发者的角度来看,实现是在Python中进行的,利用了各种高级包:VisionEgg用于刺激演示,NumPy和SciPy用于信号处理和classiфи阳离子,IPython用于交互式调试。BCPy2000实现了许多基础设施,允许您快速启动和运行新的实验。它还包含一组可选工具,这些工具仍在开发中,但正在迅速转变为一种面向对象的信号处理和刺激小部件的“标准库”。这些特性使其成为实时生物信号分析领域新的基于NumPy/SciPy的机器学习算法开发人员的灵活平台。 |
课程简介: | BCPy2000 Jeremy Hill, Max-Planck-Institute for Biological Cybernetics, T¨ ubingen, Germany BCPy2000 provides a platform for rapid, flexible development of experimental Brain-Computer Interface systems based on the BCI2000.org project. From the developer’s point of view, the implementation is carried out in Python, taking advantage of various high-level packages: VisionEgg for stimulus presentation, NumPy and SciPy for signal processing and classification, and IPython for interactive debugging. BCPy2000 implements a lot of infrastructure allowing you to get new experiments up and running quickly. It also contains a set of optional tools, which are still a work in progress but which are rapidly turning into a kind of “standard library” of object-oriented signal-processing and stimulus widgets. These features make it a flexible platform for developers of new NumPy/SciPy-based machine-learning algorithms in the field of realtime biosignal analysis. |
关 键 词: | 基础设施; 面向对象; 机器学习 |
课程来源: | 视频讲座网 |
数据采集: | 2022-12-08:chenjy |
最后编审: | 2022-12-08:chenjy |
阅读次数: | 34 |