Hsu Anne S, Dayan Peter
Gatsby Computational Neuroscience Unit, University College London, 17 Queen Square, London WC1N 3AR, UK.
Vision Res. 2007 Oct;47(22):2868-77. doi: 10.1016/j.visres.2007.07.023. Epub 2007 Sep 11.
The selectivities of neurons in primary visual cortex are often considered to be adapted to the statistics of natural images. Accordingly, simple cell-like tuning emerges when unsupervised learning models that seek sparse representations of input probabilities are trained on natural scenes. However, orientation tuning develops before structured vision starts, rendering these previous results moot as models of activity-dependent development. A more stringent examination of such models comes from experiments demonstrating altered neural response properties in goggle-reared kittens. We show that an unsupervised learning model of cortical responsivity accounts well for the dramatic effects of stimulus driven development during goggle-rearing.
初级视觉皮层中神经元的选择性通常被认为是适应自然图像的统计特性的。因此,当在自然场景上训练寻求输入概率稀疏表示的无监督学习模型时,就会出现类似简单细胞的调谐。然而,方向调谐在结构化视觉开始之前就已发展,这使得这些先前的结果作为依赖活动的发育模型变得毫无意义。对此类模型更严格的检验来自于对戴着护目镜饲养的小猫的实验,这些实验表明其神经反应特性发生了改变。我们表明,一种关于皮层反应性的无监督学习模型很好地解释了在戴着护目镜饲养期间刺激驱动发育的显著影响。