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Electrophysiological responses of relatedness to consecutive word stimuli in relation to an actively recollected target word

机译:与主动回收目标词相关的与连续词刺激相关的电生理反应

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摘要

In this paper, we investigate the robustness of electrophysiological responses of relatedness to multiple consecutive word stimuli (probes), in relation to an actively recollected target word. Such relatedness information could be used by a Brain Computer Interface to infer the active semantic concept on a user’s mind, by integrating the knowledge of the relationship between the multiple probe words and the ‘unknown’ target. Such a BCI can take advantage of the N400: an event related potential that is sensitive to semantic content of a stimulus in relation to an established semantic context. However, it is unknown whether the N400 is suited for the multiple probing paradigm we propose, as other intervening words might distract from the established context (i.e., the target word). We perform an experiment in which we present up to ten words after an initial target word, and find no attenuation of the strength of the N400 in grand average ERPs and no decrease in classification accuracy for probes occurring later in the sequences. These results are groundwork for developing a BCI that infers the concept on a user’s mind through repeated probing, however, low single trial decoding accuracy, and high subject variability may limit practical applicability.
机译:在本文中,我们针对主动收集的目标单词,研究了与多个连续单词刺激(探针)相关的电生理反应的鲁棒性。通过整合多个探测词和“未知”目标之间关系的知识,大脑计算机界面可以使用这种相关性信息来推断用户大脑中的主动语义概念。这样的BCI可以利用N400:与事件相关的电位,该电位对与已建立的语义上下文有关的刺激的语义内容敏感。但是,未知N400是否适合我们提出的多重探测范式,因为其他中间单词可能会偏离已建立的上下文(即目标单词)。我们进行了一个实验,在该实验中,我们在最初的目标词之后最多显示10个词,并没有发现N400在总体平均ERP中的强度下降,也没有降低序列中稍后出现的探针的分类准确性。这些结果为开发BCI奠定了基础,该BCI通过重复探测可以在用户的​​脑海中推断出这个概念,但是,单次尝试解码的准确性较低,而主题可变性较高,可能会限制实际的适用性。

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