Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla, USA.
Comput Intell Neurosci. 2011;2011:130714. doi: 10.1155/2011/130714. Epub 2011 May 5.
We describe a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience (SCCN) that connect to and extend the EEGLAB software environment, a freely available and readily extensible processing environment running under Matlab. The new tools include (1) a new and flexible EEGLAB STUDY design facility for framing and performing statistical analyses on data from multiple subjects; (2) a neuroelectromagnetic forward head modeling toolbox (NFT) for building realistic electrical head models from available data; (3) a source information flow toolbox (SIFT) for modeling ongoing or event-related effective connectivity between cortical areas; (4) a BCILAB toolbox for building online brain-computer interface (BCI) models from available data, and (5) an experimental real-time interactive control and analysis (ERICA) environment for real-time production and coordination of interactive, multimodal experiments.
我们描述了一套最近在斯沃茨计算神经科学中心 (SCCN) 开发的互补的 EEG 数据采集和处理工具，这些工具连接并扩展了 EEGLAB 软件环境，EEGLAB 是一个免费且可扩展的在 Matlab 下运行的处理环境。新工具包括：（1）一个新的和灵活的 EEGLAB STUDY 设计工具，用于对来自多个受试者的数据进行框架设计和统计分析；（2）一个神经电磁正向头部建模工具箱 (NFT)，用于根据现有数据构建逼真的电头部模型；（3）一个源信息流工具箱 (SIFT)，用于对皮质区域之间正在进行或事件相关的有效连通性进行建模；（4）一个 BCILAB 工具箱，用于根据现有数据构建在线脑机接口 (BCI) 模型，以及（5）一个实验实时交互控制和分析 (ERICA) 环境，用于实时生成和协调交互式、多模态实验。
