Department of Experimental Psychology, University of Oxford, Oxford, Oxfordshire, United Kingdom.
PLoS One. 2013 Jun 14;8(6):e66272. doi: 10.1371/journal.pone.0066272. Print 2013.
We show how hand-centred visual representations could develop in the primate posterior parietal and premotor cortices during visually guided learning in a self-organizing neural network model. The model incorporates trace learning in the feed-forward synaptic connections between successive neuronal layers. Trace learning encourages neurons to learn to respond to input images that tend to occur close together in time. We assume that sequences of eye movements are performed around individual scenes containing a fixed hand-object configuration. Trace learning will then encourage individual cells to learn to respond to particular hand-object configurations across different retinal locations. The plausibility of this hypothesis is demonstrated in computer simulations.
我们展示了在自我组织的神经网络模型中，灵长类动物的后顶叶和前运动皮质如何在手中心的视觉表示在视觉引导学习中发展。该模型将痕迹学习纳入前馈突触连接中，这些连接在连续的神经元层之间进行。痕迹学习鼓励神经元学会对那些在时间上往往紧密相连的输入图像做出反应。我们假设眼动序列是围绕单个包含固定手-物配置的场景进行的。然后，痕迹学习将鼓励单个细胞学会在不同的视网膜位置对特定的手-物配置做出反应。计算机模拟证明了这一假设的合理性。
