Population code in mouse V1 facilitates readout of natural scenes through increased sparseness.
Population code in mouse V1 facilitates readout of natural scenes through increased sparseness.
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DOI：
10.1038/nn.3707
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发表时间：
2014-06
影响因子：
25
通讯作者：
Tolias, Andreas S.
中科院分区：
文献类型：
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作者：
Froudarakis, Emmanouil;Berens, Philipp;Ecker, Alexander S.;Cotton, R. James;Sinz, Fabian H.;Yatsenko, Dimitri;Saggau, Peter;Bethge, Matthias;Tolias, Andreas S.
人们相信神经代码已经适应了自然环境的统计特性。然而，在自然视觉输入过程中控制视觉皮层整体活动组织的原理尚不清楚。我们记录了小鼠初级视觉皮层中多达 500 个神经元的数量，并表征了它们的活动结构，将自然电影的反应与控制刺激的反应进行了比较。我们发现自然场景中的高阶相关性会产生更稀疏的代码，其中信息通过较小的神经元集的可靠激活进行编码，并且可以更容易地读出。这种对自然场景的计算上有利的编码是状态依赖性的，并且仅在麻醉和活跃的清醒动物中明显，但在安静的清醒状态下不明显。我们的结果证明了稀疏化的功能优势，这可能是控制整个皮质微电路群体活动结构的一般原则。
The neural code is believed to have adapted to the statistical properties of the natural environment. However, the principles that govern the organization of ensemble activity in the visual cortex during natural visual input are unknown. We recorded populations of up to 500 neurons in the mouse primary visual cortex and characterized the structure of their activity, comparing responses to natural movies with those to control stimuli. We found that higher-order correlations in natural scenes induce a sparser code, in which information is encoded by reliable activation of a smaller set of neurons and can be read-out more easily. This computationally advantageous encoding for natural scenes was state-dependent and apparent only in anesthetized and active awake animals, but not during quiet wakefulness. Our results argue for a functional benefit of sparsification that could be a general principle governing the structure of the population activity throughout cortical microcircuits.
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影响因子：
14.8
作者：
Garaschuk, Olga;Milos, Ruxandra-Iulia;Konnerth, Arthur
通讯作者：
Konnerth, Arthur
影响因子：
16.2
作者：
Bennett C;Arroyo S;Hestrin S
通讯作者：
Hestrin S
影响因子：
4.3
作者：
Eichhorn J;Sinz F;Bethge M
通讯作者：
Bethge M
影响因子：
5.4
作者：
ATTNEAVE, F
通讯作者：
ATTNEAVE, F
DOI：
10.1523/jneurosci.2753-12.2013
发表时间：
2013-02-27
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Barak O;Rigotti M;Fusi S
通讯作者：
Fusi S