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首页> 外文期刊>Annals of Mathematics and Artificial Intelligence >Two hemispheres-two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words
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Two hemispheres-two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words

机译：两个半球-两个网络：解释半球形不对称性同时读取歧义词的计算模型

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A computational model for reading that takes into account the different processing abilities of the two cerebral hemispheres is presented. This dual hemispheric reading model closely follows the original computational lines due to Kowamoto (J Mem Lang 32:474-516, 1993) but postulates a difference in architecture between the right and left hemispheres. Specifically it is assumed that orthographic, phonological and semantic units are completely connected in the left hemisphere, while there are no direct connections between phonological and orthographic units in the right hemisphere. It is claimed that this architectural difference results in hemisphere asymmetries in resolving lexical ambiguity and more broadly in the processing of written words. Simulation results bear this out. First, we show that the two networks successfully simulate the time course of lexical selection in the two cerebral hemispheres. Further, we were able to see a computational advantage of two separate networks, when information is transferred from the right hemisphere network to the left hemisphere network. Finally, beyond reproducing known empirical data, this dual hemispheric reading model makes novel and surprising predictions that were found to be consistent with new human data.
机译：提出了一种计算模型，该模型考虑了两个大脑半球的不同处理能力。这种双重半球阅读模型紧密遵循Kowamoto的原始计算线（J Mem Lang 32：474-516，1993），但假设左右半球在体系结构上存在差异。具体而言，假设左半球的拼字，语音和语义单位完全连接，而右半球的拼音和拼字单位之间没有直接联系。据称，这种体系结构上的差异导致半球不对称性在解决词汇歧义性方面，更广泛地导致了书面单词的处理。仿真结果证明了这一点。首先，我们证明了这两个网络成功地模拟了两个大脑半球中词汇选择的时间过程。此外，当信息从右半球网络转移到左半球网络时，我们能够看到两个单独网络的计算优势。最后，除了重现已知的经验数据外，这种双半球阅读模型还做出了新颖而令人惊讶的预测，这些预测与新的人类数据相符。

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