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Programmable neural processing on a smartdust

机译:智能粉尘上的可编程神经处理

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To date, spike sorting for neural processing in brain-computer interfaces has been performed using off-chip analysis or custom ASIC designs. In this paper, we propose and test the feasibility of performing on-chip, real-time spike sorting on a commercially available and programmable smartdust wireless sensor network mote since such a platform is currently the closest to an implantable chip due to its small size and similar physical and environmental constraints.
机译:迄今为止,已经使用片外分析或定制ASIC设计对脑-计算机接口中的神经处理进行尖峰排序。在本文中,我们提出并测试了在市售的可编程智能尘埃无线传感器网络节点上进行片上,实时尖峰分选的可行性,因为这种平台由于其体积小,尺寸小而目前最接近可植入芯片。相似的物理和环境约束。

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