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优化神经编码?通过连接变化实现的大皮质网络中的控制机制。

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

机构信息

Neuroscience Interdepartmental Program, University of California, Los Angeles, CA, USA.

出版信息

Hum Brain Mapp. 2013 Jan;34(1):213-25. doi: 10.1002/hbm.21428. Epub 2011 Oct 5.

DOI:10.1002/hbm.21428
PMID:21976418
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3389591/
Abstract

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.

摘要

我们利用功能磁共振成像技术,发现一个分布式的额顶叶视动整合网络被招募来克服对生物和非生物线索的自动反应。这些区域的活动水平对两种线索类型都相似。然而,该网络的功能连接显示出与丘脑和楔前叶(生物线索)和外纹状体皮层(非生物线索)的不同耦合。这表明,在两个任务中同样激活的一组皮层区域可能会根据其网络相互作用以不同的方式完成任务目标。这支持了强调通过改变专门功能区域之间的整合模式来实现高效编码的大脑组织模型。

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本文引用的文献

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Time course analyses confirm independence of imitative and spatial compatibility.时间进程分析证实了模仿和空间兼容性的独立性。
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