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Optimized neural coding? Control mechanisms in large cortical networks implemented by connectivity changes

机译:优化的神经编码?大型皮质网络中的控制机制通过连接更改实现

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Using functional magnetic resonance imaging, we show that a distributed fronto-parietal visuomotor integration network is recruited to overcome automatic responses to both biological and nonbiological cues. Activity levels in these areas are similar for both cue types. The functional connectivity of this network, however, reveals differential coupling with thalamus and precuneus (biological cues) and extrastriate cortex (nonbiological cues). This suggests that a set of cortical areas equally activated in two tasks may accomplish task goals differently depending on their network interactions. This supports models of brain organization that emphasize efficient coding through changing patterns of integration between regions of specialized function.
机译:使用功能磁共振成像,我们表明,募集了一个分布式的额顶顶视运动集成网络,以克服对生物学和非生物学线索的自动响应。两种提示类型在这些区域的活动水平相似。然而,该网络的功能连通性揭示了与丘脑,早孕(生物学线索)和外泌皮层(非生物学线索)的不同耦合。这表明在两个任务中被同等激活的一组皮质区域可能会根据其网络交互而不同地完成任务目标。这支持了大脑组织的模型,这些模型通过改变特定功能区域之间的集成模式来强调有效的编码。

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