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1.发明申请METHODS AND DEVICES FOR ANALYSIS OF CLUSTERED DATA, IN PARTICULAR ACTION POTENTIALS (I.E. NEURON FIRING SIGNALS IN THE BRAIN) 有权用于分析数据，特别是动作电位的方法和装置（I.E.NEONON在大脑中发出的信号）公开(公告)号：US20090043220A1
公开(公告)日：2009-02-12
申请号：US11722229
申请日：2005-12-22
IPC分类号： A61B5/04
CPC分类号： G06K9/0057
摘要： Methods for clustering of multi-dimensional data allow unsupervised grouping of multi-dimensional data points into clusters having like characteristics. The methods may be usefully applied to extracellular action potentials (neuronal spikes) measured from the brain, whereby spike data may be grouped in accordance with dimensions such as spike period, spike shape, etc., to assist in identification and location of individual neurons and/or regions of the brain.
摘要翻译： 用于多维数据聚类的方法允许多维数据点的无监督分组成为具有相似特征的簇。 这些方法可能有用地应用于从脑测量的细胞外动作电位（神经元峰值），由此尖峰数据可以根据诸如尖峰周期，尖峰形状等的尺寸进行分组，以帮助识别和定位个体神经元， /或大脑的区域。
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2.发明授权Methods and devices for analysis of clustered data, in particular action potentials (i.e. neuron firing signals in the brain) 有权用于分析聚类数据的方法和装置，特别是动作电位（即脑中的神经元激发信号）公开(公告)号：US08150795B2
公开(公告)日：2012-04-03
申请号：US11722229
申请日：2005-12-22
CPC分类号： G06K9/0057
摘要： Methods for clustering of multi-dimensional data allow unsupervised grouping of multi-dimensional data points into clusters having like characteristics. The methods may be usefully applied to extracellular action potentials (neuronal spikes) measured from the brain, whereby spike data may be grouped in accordance with dimensions such as spike period, spike shape, etc., to assist in identification and location of individual neurons and/or regions of the brain.
摘要翻译： 用于多维数据聚类的方法允许多维数据点的无监督分组成为具有相似特征的簇。 这些方法可能有用地应用于从脑测量的细胞外动作电位（神经元峰值），由此尖峰数据可以根据诸如尖峰周期，尖峰形状等的尺寸进行分组，以帮助识别和定位个体神经元， /或大脑的区域。
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