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把握大脑产生复杂性的方式。

Getting a handle on how the brain generates complexity.

机构信息

Laboratory for Computational Cognitive Neuroscience, Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA.

出版信息

Network. 2012;23(3):123-7. doi: 10.3109/0954898X.2012.711918.

Abstract

Sensory processing in cortex across modalities appears to rely on a "simple-to-complex" hierarchical computational strategy in which neurons at later levels in the hierarchy combine inputs from earlier levels to create more complex neuronal selectivities. The specifics of this process are still poorly understood, however. In this issue of Network, Plebe shows how computational modeling of experimental data on neuronal tuning in secondary visual cortex can help us understand how the brain increases neuronal tuning complexity across the visual cortical hierarchy.

摘要

跨模态皮层的感觉处理似乎依赖于一种“从简单到复杂”的分层计算策略,其中层次结构中较后的神经元将来自较前层次的输入组合起来,以产生更复杂的神经元选择性。然而,这个过程的具体细节仍不清楚。在本期《网络》杂志中,Plebe 展示了如何对二级视觉皮层神经元调谐的实验数据进行计算建模,以帮助我们理解大脑如何在整个视觉皮层层次结构中增加神经元调谐的复杂性。

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