Synaptic Mechanisms of Feature Coding in the Visual Cortex of Awake Mice.

Synaptic Mechanisms of Feature Coding in the Visual Cortex of Awake Mice.
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DOI:
10.1016/j.neuron.2017.08.014
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发表时间:
2017-08-30
期刊:
影响因子:
16.2
通讯作者:
Adesnik H
Adesnik H
中科院分区:
医学1区
文献类型:
--
作者:
Adesnik H

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视觉皮层中特征编码的突触机制知之甚少,特别是在清醒的动物中。兴奋(E)和抑制(I)之间的比率在刺激空间中可能是恒定的,仅控制神经元反应的增益和时间,或者它可能会改变,直接有助于特征编码。清醒小鼠L2/3的全细胞记录显示,E/I比随着刺激对比度或大小的增加而系统地下降。抑制生长抑素神经元增强E和I潜在的大小调谐,解释SOM神经元在周围抑制中的作用。这些数据意味着,对比度和大小调整的结果从一个变化的E/I比和总突触输入的调谐的组合。此外,他们在清醒的动物中为“稳定的超线性网络”提供了实验支持,这是一种解释各种皮层现象的模型,并表明随着皮层驱动的增加,E/I比率的降低可能有助于许多不同的皮层计算。
The synaptic mechanisms of feature coding in the visual cortex are poorly understood, particularly in awake animals. The ratio between excitation (E) and inhibition (I) might be constant across stimulus space, controlling only the gain and timing of neuronal responses, or it might change, directly contributing to feature coding. Whole-cell recordings in L2/3 of awake mice revealed that the E/I ratio systematically declines with increasing stimulus contrast or size. Suppressing somatostatin neurons enhanced the E and I underlying size tuning, explaining SOM neurons’ role in surround suppression. These data imply that contrast and size tuning result from a combination of a changing E/I ratio and the tuning of total synaptic input. Furthermore, they provide experimental support in awake animals for the ‘Stabilized Supralinear Network’, a model that explains diverse cortical phenomena, and suggest that a decreasing E/I ratio with increasing cortical drive could contribute to many different cortical computations.
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