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首页> 外文期刊>Journal of Neuroscience Methods >Smoothing bandwidth selection for response latency estimation.
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Smoothing bandwidth selection for response latency estimation.

机译:平滑带宽选择以用于响应等待时间估计。

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摘要

Stimulus response latency is the delay between stimulus onset and the evoked modulation in neural activity. A common technique to estimate latencies involves binning the spike arrival times to form a peri-stimulus histogram. This histogram is smoothed using a fixed bandwidth. The estimated latency is the first time following stimulus onset in which the smoothed histogram exceeds the midpoint between the minimum and maximum of the smoothed histogram. We demonstrate that the choice of smoothing bandwidth is critical to the accuracy of this latency estimation technique. We suggest a bootstrap resampling technique for bandwidth selection which results in a robust latency estimate.
机译:刺激反应潜伏期是刺激开始和神经活动诱发的调制之间的延迟。估计延迟的常用技术涉及对峰值到达时间进行分箱以形成刺激周围的直方图。使用固定带宽可以平滑此直方图。估计的等待时间是刺激发作后的第一次,其中平滑直方图超出了平滑直方图的最小值和最大值之间的中点。我们证明平滑带宽的选择对于这种等待时间估计技术的准确性至关重要。我们建议使用引导重采样技术进行带宽选择,从而获得可靠的等待时间估计。

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