Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions
Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions
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DOI：
10.1523/jneurosci.4129-12.2013
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发表时间：
2013-04-10
影响因子：
5.3
通讯作者：
Giese, Martin A.
中科院分区：
文献类型：
--
作者：
Fleischer, Falk;Caggiano, Vittorio;Giese, Martin A.
动作的视觉识别是一种重要的视觉功能，对于运动学习和社会交流至关重要。在不同的皮质区域，包括上级颞沟，顶叶和运动前皮质，都发现了选择性神经元。其中包括镜像神经元，它将身体运动的视觉和运动表征联系起来。虽然已经提出了许多镜像神经元系统的理论模型，但目标导向动作的视觉处理的计算基础仍然很不清楚。虽然大多数现有的模型集中在动作识别中的运动表征的可能作用，我们提出了一个模型，表明许多关键属性的动作选择性的视觉神经元可以解释由完善的视觉机制。我们的模型完成了从真实的视频刺激的手部动作的识别，专门利用可以由皮层神经元以生物学上合理的方式实现的机制。我们表明，该模型为动作选择性视觉神经元的各种电生理结果提供了统一的定量一致的解释。此外，它还做出了一些预测，其中一些可以在最近的电生理实验中得到证实。
The visual recognition of actions is an important visual function that is critical for motor learning and social communication. Action-selective neurons have been found in different cortical regions, including the superior temporal sulcus, parietal and premotor cortex. Among those are mirror neurons, which link visual and motor representations of body movements. While numerous theoretical models for the mirror neuron system have been proposed, the computational basis of the visual processing of goal-directed actions remains largely unclear. While most existing models focus on the possible role of motor representations in action recognition, we propose a model showing that many critical properties of action-selective visual neurons can be accounted for by well-established visual mechanisms. Our model accomplishes the recognition of hand actions from real video stimuli, exploiting exclusively mechanisms that can be implemented in a biologically plausible way by cortical neurons. We show that the model provides a unifying quantitatively consistent account of a variety of electrophysiological results from action-selective visual neurons. In addition, it makes a number of predictions, some of which could be confirmed in recent electrophysiological experiments.