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首页> 外文会议>Computational Intelligence for Multimedia Signal and Vision Processing, 2009. CIMSVP '09 >Tactile or visual?: Stimulus characteristics determine receptive field type in a self-organizing map model of cortical development
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Tactile or visual?: Stimulus characteristics determine receptive field type in a self-organizing map model of cortical development

机译：触觉还是视觉？：刺激特征决定皮层发育的自组织图模型中的感受野类型

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Tactile receptive fields (RFs) are similar to visual receptive fields, while there is a subtle difference. Our previous work showed that tactile RFs have advantage in texture boundary detection tasks compared to visual RFs. Our working hypothesis was that tactile RFs are better in texture tasks since texture is basically a surface property, more intimately linked with touch than with vision. From an information processing point of view, touch and vision are very similar (i.e., two-dimensional sensory surface). Then, the question is what drives the two types of RFs to become different? In this paper, we investigated the possibility that tactile RF and visual RF emerge based on an identical cortical learning process, where the only difference is in the input type, natural-scene-like vs. texture-like. We trained a self-organizing map model of the cortex (the LISSOM model) on two different kinds of input, (1) natural scene and (2) texture, and compared the resulting RFs. The main result is that RFs trained on natural scenes have RFs resembling visual RFs, while those trained on texture resemble tactile RFs. These results suggest that the type of input most commonly stimulating the sensory modality (natural scene for vision and texture for touch), and not the intrinsic organization of the sensors or the developmental process in the cortex, determine the RF property. We expect these results to shed new light on the differences and similarities between touch and vision.
机译：触觉感受野（RF）与视觉感受野类似，但有细微的差别。我们以前的工作表明，与视觉RF相比，触觉RF在纹理边界检测任务中具有优势。我们的工作假设是，由于质感基本上是一种表面特性，与视觉相比，与触摸更紧密地联系在一起，因此质感任务中的触觉RF更好。从信息处理的角度来看，触摸和视觉非常相似（即二维感官表面）。那么，问题是什么促使两种类型的RF变得不同？在本文中，我们研究了基于相同的皮质学习过程出现触觉RF和视觉RF的可能性，唯一的区别在于输入类型（自然场景式与纹理式）。我们在两种不同的输入（1）自然场景和（2）纹理上训练了皮质的自组织映射模型（LISSOM模型），并比较了产生的RF。主要结果是在自然场景上训练的RF具有类似于视觉RF的RF，而在纹理上训练的RF与触觉RF类似。这些结果表明，最常刺激感觉模式（视觉的自然场景和触摸的纹理）的输入类型（而不是传感器的固有组织或皮质中的发育过程）决定了RF属性。我们希望这些结果能为触摸和视觉之间的异同提供新的思路。

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