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首页> 外文期刊>Neuron >Associative fear learning enhances sparse network coding in primary sensory cortex
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Associative fear learning enhances sparse network coding in primary sensory cortex

机译:联想恐惧学习增强了初级感觉皮层的稀疏网络编码

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Several models of associative learning predict that stimulus processing changes during association formation. How associative learning reconfigures neural circuits in primary sensory cortex to " learn" associative attributes of a stimulus remains unknown. Using 2-photon in vivo calcium imaging to measure responses of networks of neurons in primary somatosensory cortex, we discovered that associative fear learning, in which whisker stimulation is paired with foot shock, enhances sparse population coding and robustness of the conditional stimulus, yet decreases total network activity. Fewer cortical neurons responded to stimulation of the trained whisker than in controls, yet their response strength was enhanced. These responses were not observed in mice exposed to a nonassociative learning procedure. Our results define how the cortical representation of a sensory stimulus is shaped by associative fear learning.
机译:联想学习的几种模型预测,刺激过程在联想形成过程中会发生变化。关联学习如何重新配置​​初级感觉皮层中的神经回路以“学习”刺激的关联属性仍然未知。使用2光子体内钙成像来测量原代体感皮层中神经元网络的反应,我们发现将晶须刺激与足部震颤结合在一起的联想恐惧学习增强了稀疏的种群编码和条件刺激的鲁棒性,但仍降低了总网络活动。较少的皮质神经元对经训练的晶须的刺激做出的反应比对照组少,但它们的反应强度得到了增强。在暴露于非联想学习程序的小鼠中未观察到这些反应。我们的结果定义了联想刺激学习如何塑造感觉刺激的皮质表征。

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