作者: Quentin Pauluis , Stuart N. Baker
DOI: 10.1162/089976600300015736
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摘要: We present an estimate for the instantaneous discharge probability of a neurone, based on single-trial spike-train analysis. By detecting points where neurone abruptly changes its firing rate and treating them specially, method is able to achieve smooth estimates yet avoid blurring significant changes. This then applied unitary event show that analysis as originally conceived highly sensitive firing-rate nonstationarities covariations, but it can be considerably improved if calculations statistical significance use instead averaging across multiple trials.