Wang D
Dept. of Comput. and Inf. Sci., Ohio State Univ., Columbus, OH.
IEEE Trans Neural Netw. 1995;6(4):941-8. doi: 10.1109/72.392256.
The discovery of long range synchronous oscillations in the visual cortex has triggered much interest in understanding the underlying neural mechanisms and in exploring possible applications of neural oscillations. Many neural models thus proposed end up relying on global connections, leading to the question of whether lateral connections alone can produce remote synchronization. With a formulation different from frequently used phase models, we find that locally coupled neural oscillators can yield global synchrony. The model employs a previously suggested mechanism that the efficacy of the connections is allowed to change on a fast time scale. Based on the known connectivity of the visual cortex, the model outputs closely resemble the experimental findings. Furthermore, we illustrate the potential of locally connected oscillator networks in perceptual grouping and pattern segmentation, which seems missing in globally connected ones.
视觉皮层中长程同步振荡的发现引发了人们对理解其潜在神经机制以及探索神经振荡可能应用的浓厚兴趣。因此提出的许多神经模型最终都依赖于全局连接，这引发了一个问题，即仅靠侧向连接是否能产生远程同步。通过一种与常用相位模型不同的公式，我们发现局部耦合的神经振荡器能够产生全局同步。该模型采用了一种先前提出的机制，即连接的效能被允许在快速时间尺度上发生变化。基于视觉皮层已知的连接性，模型输出与实验结果非常相似。此外，我们展示了局部连接的振荡器网络在感知分组和模式分割方面的潜力，而这在全局连接的网络中似乎是缺失的。
