Coarse-to-fine processing drives the efficient coding of natural scenes in mouse visual cortex.
Coarse-to-fine processing drives the efficient coding of natural scenes in mouse visual cortex.
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由粗到精的处理驱动了小鼠视觉皮层对自然场景的有效编码。
DOI:
10.1016/j.celrep.2022.110606
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发表时间:
2022-03-29
期刊:
影响因子:
8.8
通讯作者:
Cang, Jianhua
中科院分区:
文献类型:
--
作者:
Skyberg, Rolf;Tanabe, Seiji;Chen, Hui;Cang, Jianhua
The visual system processes sensory inputs sequentially, perceiving coarse information before fine details. Here we study the neural basis of coarse-to-fine processing and its computational benefits in natural vision. We find that primary visual cortical neurons in awake mice respond to natural scenes in a coarse-to-fine manner, primarily driven by individual neurons rapidly shifting their spatial frequency preference from low to high over a brief response period. This shift transforms the population response in a way that counteracts the statistical regularities of natural scenes, thereby reducing redundancy and generating a more efficient neural representation. The increase in representational efficiency does not occur in either dark-reared or anesthetized mice, which show significantly attenuated coarse-to-fine spatial processing. Collectively, these results illustrate that coarse-to-fine processing is state dependent, develops postnatally via visual experience, and provides a computational advantage by generating more efficient representations of the complex spatial statistics of ethologically relevant natural scenes. Skyberg et al. show that the visual cortex of mice processes natural scenes in a coarse-to-fine manner, driven by individual neuron’s temporal dynamics. These response dynamics, which require visual experience to develop, reduce redundancy in the neural code and lead to more efficient representations of complex visual stimuli.
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