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首页> 外文会议>IMAPS 2008 - 41st international symposium on microelectronics: bringing together the entire microelectronics supply chain >Analog Tetrode Adaptive Spike Detector
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Analog Tetrode Adaptive Spike Detector

机译：模拟四极自适应尖峰检测器

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摘要

The detection of individual brain cells activity is essential to studying brain function. Most brain cells communicate by firing action potentials (spikes). Brain information is thought to be encoded in the timing between successive spikes. Neural data collected from tetrodes directly implanted in the neural tissue seems to provide highly accurate data. Detecting spikes and identifying the firing times of a specific neuron require analyzing the signals from the four tetrode conductors simultaneously and filtering useful information from any background noise. The computational simplicity of voltage thresholding makes it the most common method or the detecting action potentials buried in noise. Nevertheless, it is not straightforward to apply the technique to several channels simultaneously.rnThe proposed algorithm combines the four tetrode signals and compares the output against an adaptive voltage threshold detector. The signals are combined using an analog signal multiplication that emphasizes the times when all four signals are spiking. The adaptive threshold detector sets itself to the background noise level. The entire operation is done in analog and therefore makes the system low power and highly suitable for hardware implementation. This technique has been demonstrated in Matlab simulation using real tetrode data and is being adapted for an all-analog circuit implementation.
机译：单个脑细胞活性的检测对于研究脑功能至关重要。大多数脑细胞通过激发动作电位（尖峰）进行交流。人们认为大脑信息是在连续峰值之间的时间编码的。从直接植入神经组织的四极体收集的神经数据似乎提供了高度准确的数据。要检测尖峰并确定特定神经元的放电时间，需要同时分析来自四个四极导体的信号，并从任何背景噪声中过滤出有用的信息。电压阈值的计算简单性使其成为最常见的方法或检测隐藏在噪声中的动作电位的方法。然而，将技术同时应用于多个通道并不容易。建议的算法结合了四个四极信号并将输出与自适应电压阈值检测器进行比较。使用模拟信号乘法来组合信号，该乘法强调所有四个信号都在加尖峰的时间。自适应阈值检测器将自身设置为背景噪声水平。整个操作以模拟方式完成，因此使系统功耗较低，非常适合硬件实现。该技术已在使用真实四极体数据的Matlab仿真中得到了证明，并已应用于全模拟电路实现。

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