Zarei Eskikand Parvin, Kameneva Tatiana, Ibbotson Michael R, Burkitt Anthony N, Grayden David B
NeuroEngineering Laboratory, Dept Electrical & Electronic Engineering, The University of Melbourne, Parkville, VIC 3010, Australia.
NICTA Victorian Research Laboratory, Parkville, VIC 3010, Australia.
PLoS One. 2016 Oct 14;11(10):e0164813. doi: 10.1371/journal.pone.0164813. eCollection 2016.
We present a model of the early stages of processing in the visual cortex, in particular V1 and MT, to investigate the potential role of end-stopped V1 neurons in solving the aperture problem. A hierarchical network is used in which the incoming motion signals provided by complex V1 neurons and end-stopped V1 neurons proceed to MT neurons at the next stage. MT neurons are categorized into two types based on their function: integration and segmentation. The role of integration neurons is to propagate unambiguous motion signals arriving from those V1 neurons that emphasize object terminators (e.g. corners). Segmentation neurons detect the discontinuities in the input stimulus to control the activity of integration neurons. Although the activity of the complex V1 neurons at the terminators of the object accurately represents the direction of the motion, their level of activity is less than the activity of the neurons along the edges. Therefore, a model incorporating end-stopped neurons is essential to suppress ambiguous motion signals along the edges of the stimulus. It is shown that the unambiguous motion signals at terminators propagate over the rest of the object to achieve an accurate representation of motion.
我们提出了一种视觉皮层早期处理阶段的模型，特别是V1区和MT区，以研究终端抑制的V1神经元在解决孔径问题中的潜在作用。使用了一个分层网络，其中由复杂V1神经元和终端抑制的V1神经元提供的传入运动信号传递到下一阶段的MT神经元。MT神经元根据其功能分为两类：整合型和分割型。整合神经元的作用是传播来自那些强调物体终端（如角点）的V1神经元的明确运动信号。分割神经元检测输入刺激中的不连续性，以控制整合神经元的活动。虽然物体终端处的复杂V1神经元的活动准确地表示了运动方向，但其活动水平低于沿边缘的神经元的活动。因此，纳入终端抑制神经元的模型对于抑制刺激边缘的模糊运动信号至关重要。结果表明，终端处的明确运动信号在物体的其余部分传播，以实现对运动的准确表示。
