Example Data for "A Low-Power Band of Neuronal Spiking Activity Dominated by Local Single Units Improves the Performance of Brain-Machine Interfaces"
收藏DataCite Commons2022-04-10 更新2024-07-13 收录
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http://deepblue.lib.umich.edu/data/concern/data_sets/5712m681k
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资源简介:
This data is a subset of the data used to generate figures similar to figures 1, 2, 3, and 4 in Nason et al., 2020, Nature Biomedical Engineering. The purpose of the study was to demonstrate the benefits of using spiking band power, a low-power but single unit specific recording signal, for brain-machine interfaces with nonhuman primates with the potential to impact low-power brain-machine interfaces with humans. All of the data is contained in .mat files, which can be commonly opened by Matlab and the Python scipy library.
本数据集为Nason等人2020年发表于《自然·生物医学工程(Nature Biomedical Engineering)》的论文中,用于生成图1、2、3、4的原始数据的子集。本研究旨在验证尖峰频带功率(spiking band power)的应用优势:该信号兼具低功耗与单神经元特异性记录的特性,可应用于非人灵长类动物的脑机接口(brain-machine interfaces)研究,其成果有望推动人类低功耗脑机接口的发展。所有数据均存储于.mat格式文件中,可通过Matlab软件及Python的scipy库正常打开访问。
提供机构:
University of Michigan
创建时间:
2021-07-21



