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Semantic rewiring mechanism of neural cross-supramodal integration based on spatial and temporal properties of attention

机译:基于注意的时空特性的神经跨超峰态集成的语义重新关联机制

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This paper proposes cross-supramodal integration system which is hypothetically dedicated by a neuronal network where prefrontal cortex is interacted with hippocampus and cortical areas in human brain. The substrate of the network is basically computed by rewiring mechanism consisting of a bidirectional processing network dedicated by PFC. The computational meaning of the rewiring allows the bidirectional network to learn cross-supramodal integration among different sensors. The cross-supramodality is represented by possible attention classes across space and time. We speculate that the rewiring mechanism may particularly be crucial as consolidating of spatial and temporal attention based on the bidirectional processing network where PFC integrates expected reward outcomes and accurate representations of spatial information together to attain accurate behavior. Conclusively, the leverage on the nature of human rewiring mechanism may essentially relate to cognitive issues such as semantic priming and language acquisition.
机译:本文提出了跨超峰整合系统,假设该系统由神经元网络专用,其中前额叶皮层与人脑的海马和皮质区域相互作用。网络的基础基本上是通过重新布线机制来计算的,该机制由PFC专用的双向处理网络组成。重新布线的计算含义允许双向网络学习不同传感器之间的跨超峰积分。跨超模态由跨时空的可能注意力类别表示。我们推测,重新布线机制对于基于双向处理网络的空间和时间注意力的巩固尤其重要,在该双向处理网络中,PFC将预期的奖励结果和空间信息的准确表示整合在一起,以获得准确的行为。结论是,对人类重新布线机制本质的影响可能实质上与诸如语义启动和语言习得之类的认知问题有关。

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