We describe a neural spike-sorting processor that provides unsupervised clustering simultaneously for 16 channels. The use of a two-stage clustering algorithm, noise-tolerant distance metric, and selectively clocked high-VT register arrays makes online clustering feasible for implementation. The spike-sorting processor has a power consumption of 75µW at 270mV and an area of 2.45mm2 in a 65nm CMOS.
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机译：我们描述了一个神经尖峰分类处理器，可同时为16个通道提供无监督的聚类。 使用双级聚类算法，噪声距离度量，以及选择性地时钟高V T 寄存器阵列使在线聚类可行实现。 尖峰分拣处理器的功耗为75＆＃x00b5; w，270mV，面积为2.45mm 2 ，在65nm cmos中。
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