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USING ARTIFICIAL NEURAL NETWORKS TO EXAMINE EVENT-RELATED POTENTIALS OF FACE MEMORY

机译：使用人工神经网络检查事件记忆的事件相关电位

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摘要

The N250r is a face-sensitive event-related potential (ERP) deflection whose long-term memory sensitivity remains uncertain. We investigated the possibility that long-term memory-related voltage changes are represented in the early ERP's to faces but methodological considerations could affect how these changes appear to be manifested. We examined the effects of two peak analysis procedures in the assessment of the memory-sensitivity of the N250r elicited in an oldew recognition paradigm using analysis of variance (ANOVA) and artificial neural networks (ANN's). When latency was kept constant within subjects, ANOVA was unable to detect differences between ERP's to remembered and new faces; however, an ANN was. Network interpretation suggested that the ANN was detecting amplitude differences at occipitotemporal and frontocentral sites corresponding to the N250r. When peak latency was taken into account, ANOVA detected a significant decrease in onset latency of the N250r to remembered faces and amplitude differences were not detectable, even with an ANN. Results suggest that the N250r is sensitive to long-term memory. This effect may be a priming phenomenon that is attenuated at long lags between faces. Choice of peak analysis procedures is critical to the interpretation of phasic memory effects in ERP data.
机译：N250r是一种与面部相关的事件相关电位（ERP）偏转，其长期记忆敏感性仍然不确定。我们调查了在早期ERP中面对长期与存储器相关的电压变化的可能性，但是方法上的考虑可能会影响这些变化的显现方式。我们使用方差分析（ANOVA）和人工神经网络（ANN），研究了两种峰值分析程序在评估旧/新识别范例中引起的N250r记忆敏感性方面的影响。当受试者的潜伏期保持恒定时，ANOVA无法检测到已记住的面孔和新面孔之间的ERP差异；但是，人工神经网络是。网络解释表明，人工神经网络正在检测与N250r相对应的枕颞和额中部位的振幅差异。当考虑峰值潜伏期时，方差分析检测到N250r相对于记住的面部的发作潜伏期显着减少，即使使用ANN，也无法检测到振幅差异。结果表明，N250r对长期记忆敏感。此效果可能是启动现象，该启动现象在面之间的长时间滞后会减弱。峰分析程序的选择对于ERP数据中相记忆效应的解释至关重要。

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