Functional specificity of local synaptic connections in neocortical networks.

Functional specificity of local synaptic connections in neocortical networks.
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DOI:
10.1038/nature09880
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发表时间:
2011-05-05
期刊:
影响因子:
64.8
通讯作者:
Mrsic-Flogel, Thomas D.
Mrsic-Flogel, Thomas D.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Ko, Ho;Hofer, Sonja B.;Pichler, Bruno;Buchanan, Katherine A.;Sjoestroem, P. Jesper;Mrsic-Flogel, Thomas D.

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神经元连接是大脑信息处理的基础。因此,理解感觉处理的机制需要揭示神经元之间的连接模式如何与它们的功能相关。在一个粗略的尺度上,长距离投射可以优先链接对感觉刺激有类似反应的皮层区域。但在局部范围内,树突和轴突基本上重叠,连接的功能特异性仍然未知。在这里,我们确定附近的2/3层锥体神经元在体外的反应特性,首先在小鼠体内视皮层的突触连接。我们发现连接概率与视觉驱动神经元活动的相似性有关。对定向刺激具有相同偏好的神经元的连接速度是具有正交定向偏好的神经元的两倍。神经元对自然刺激的反应类似,形成连接的速度比那些不相关的反应要高得多。双向突触连接被发现更频繁地与强烈相关的视觉反应的神经元对之间。我们的研究结果揭示了视皮层局部突触连接的功能特异性程度,并指出存在专门处理相关感觉信息的细尺度子网络。
Neuronal connectivity is fundamental to information processing in the brain. Understanding the mechanisms of sensory processing, therefore, requires uncovering how connection patterns between neurons relate to their function. On a coarse scale long range projections can preferentially link cortical regions with similar responses to sensory stimuli. But on the local scale, where dendrites and axons overlap substantially, the functional specificity of connections remains unknown. Here we determine synaptic connectivity between nearby layer 2/3 pyramidal neurons in vitro whose response properties were first characterized in mouse visual cortex in vivo. We found that connection probability was related to the similarity of visually driven neuronal activity. Neurons with the same preference for oriented stimuli connected at twice the rate of neurons with orthogonal orientation preferences. Neurons responding similarly to naturalistic stimuli formed connections at much higher rates than those with uncorrelated responses. Bidirectional synaptic connections were found more frequently between neuronal pairs with strongly correlated visual responses. Our results reveal the deg of functional specificity of local synaptic connections in visual cortex, and point to the existence of fine-scale subnetworks dedicated to processing related sensory information.
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影响因子: 16.2
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影响因子: --
作者:
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