0


BCPy2000年

BCPy2000
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: 28