卷积神经网络开发早期视觉皮层的主要组织原则,当增强与视网膜采样
Danny da Costa1,2, Lukas Kornemann3,4, Rainer Goebel3,5
1Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Oxfordlaan 55, 6229 EV, Maastricht, The Netherlands. danny.dacosta@maastrichtuniversity.nl.
Scientific reports
|April 18, 2024
概括
卷积神经网络与视网膜采样层复制灵长类动物视觉皮层组织. 这些模型揭示了空间频率依赖的辐射偏差,挑战了以前的假设.
科学领域:
- 计算神经科学是一种神经科学.
- 视觉系统建模 视觉系统建模
- 人工智能的人工智能
背景情况:
- 灵长类人视觉皮层显示组织原理,如皮质放大和辐射偏差.
- 这些原则被认为源于视网膜质细胞的分布和视网膜到皮层的融合.
- 了解这些原则是解读视觉处理的关键.
研究的目的:
- 使用计算模型调查灵长类视觉皮层组织原理的起源.
- 测试假设非均的视网膜采样和准均的融合驱动这些原则.
- 探索空间频率在辐射偏差中的作用.
主要方法:
- 卷积神经网络 (CNN) 的开发,包括一个新的视网膜采样层.
- 视网膜采样层模拟了非均的视网膜质细胞密度.
- 在训练有素的CNN中,分析组织原理,包括受感场属性和辐射偏差.
主要成果:
- 带有视网膜采样层的CNN成功复制了视觉皮层的关键组织原则.
- 发现辐射偏差取决于空间频率,只出现在高频率.
- 低空间频率表现出直角定向偏差,这表明辐射偏差的新起源.
结论:
- 不统一的视网膜采样和准统一的融合之间的相互作用可以解释视觉皮层的组织.
- 辐射偏差不是一个普遍的特征,而是通过空间频率调节的.
- 视网膜采样和收共同确定整个视野的空间频率分辨率.
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