Variable latencies of noisy signals: Estimation and testing in brain potential data
Variable latencies of noisy signals: Estimation and testing in brain potential data
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DOI：
10.1093/biomet/74.3.525
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发表时间：
1987-09
期刊：
影响因子：
2.7
通讯作者：
P. Tuan;J. Möcks;W. Köhler;T. Gasser
中科院分区：
文献类型：
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作者：
P. Tuan;J. Möcks;W. Köhler;T. Gasser
与某些事件（即刺激）相关的大脑电反应通常通过重复刺激和随后对与刺激时间锁定的活动记录进行平均来估计。本文讨论了在刺激开始后，单个反应可能具有不同的潜伏期（即到达时间）的模型。为了估计单个的lavelet，采用迭代Fisher评分的最大似然方法。进一步的统计测试的延迟变化的存在而得。模拟和真实的数据的应用进行了讨论。
SUMMARY The electric response of the brain related to some event, i.e. stimulus, is usually estimated by repeated stimulation and subsequent averaging of the activity recorded time-locked to the stimulus. The present paper deals with the model that the single responses may have varying latency, i.e. arrival time, after stimulus onset. For estimating the single latencies, a maximum likelihood approach employing iterative Fisher-scoring is developed. Further a statistic for testing on the presence of latency variation is derived. Simulations and real data applications are discussed.