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现场稀疏编码:自发视网膜波足以产生方位选择性。

Sparse coding on the spot: spontaneous retinal waves suffice for orientation selectivity.

机构信息

Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia.

出版信息

Neural Comput. 2012 Sep;24(9):2422-33. doi: 10.1162/NECO_a_00333. Epub 2012 Jun 26.

DOI:10.1162/NECO_a_00333
PMID:22734490
Abstract

Ohshiro, Hussain, and Weliky (2011) recently showed that ferrets reared with exposure to flickering spot stimuli, in the absence of oriented visual experience, develop oriented receptive fields. They interpreted this as refutation of efficient coding models, which require oriented input in order to develop oriented receptive fields. Here we show that these data are compatible with the efficient coding hypothesis if the influence of spontaneous retinal waves is considered. We demonstrate that independent component analysis learns predominantly oriented receptive fields when trained on a mixture of spot stimuli and spontaneous retinal waves. Further, we show that the efficient coding hypothesis provides a compelling explanation for the contrast between the lack of receptive field changes seen in animals reared with spot stimuli and the significant cortical reorganisation observed in stripe-reared animals.

摘要

大代野博,侯赛因,和韦利基(2011 年)最近表明,雪貂在没有定向视觉体验的情况下,通过接触闪烁点刺激进行饲养,会发展出定向感受野。他们将这一结果解释为对有效编码模型的反驳,因为有效编码模型需要定向输入才能发展出定向感受野。在这里,如果考虑自发视网膜波的影响,我们表明这些数据与有效编码假说相符。我们证明,当在点刺激和自发视网膜波的混合物上进行训练时,独立成分分析主要学习到定向感受野。此外,我们还表明,有效编码假说为在点状刺激饲养的动物中观察到的感受野变化缺失与条纹饲养的动物中观察到的显著皮层重组之间的对比提供了一个令人信服的解释。

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Sparse coding on the spot: spontaneous retinal waves suffice for orientation selectivity.现场稀疏编码:自发视网膜波足以产生方位选择性。
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引用本文的文献

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Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.对自发视网膜活动进行无监督学习可产生高效的神经表征几何结构。
ArXiv. 2023 Dec 5:arXiv:2312.02791v1.
2
Unsupervised experience with temporal continuity of the visual environment is causally involved in the development of V1 complex cells.视觉环境时间连续性的无监督体验在初级视觉皮层复杂细胞的发育中起着因果作用。
Sci Adv. 2020 May 29;6(22):eaba3742. doi: 10.1126/sciadv.aba3742. eCollection 2020 May.
3
Sparse coding can predict primary visual cortex receptive field changes induced by abnormal visual input.
稀疏编码可以预测异常视觉输入引起的初级视觉皮层感受野的变化。
PLoS Comput Biol. 2013;9(5):e1003005. doi: 10.1371/journal.pcbi.1003005. Epub 2013 May 9.