Gips Bart, van der Eerden Jan P J M, Jensen Ole
Donders Institute for Brain, Cognition and Behaviour, Radboud University, Kapittelweg 29, 6525 EN, Nijmegen, The Netherlands.
Eur J Neurosci. 2016 Aug;44(4):2147-61. doi: 10.1111/ejn.13318. Epub 2016 Jul 18.
The visual system receives a wealth of sensory information of which only little is relevant for behaviour. We present a mechanism in which alpha oscillations serve to prioritize different components of visual information. By way of simulated neuronal networks, we show that inhibitory modulation in the alpha range (~ 10 Hz) can serve to temporally segment the visual information to prevent information overload. Coupled excitatory and inhibitory neurons generate a gamma rhythm in which information is segmented and sorted according to excitability in each alpha cycle. Further details are coded by distributed neuronal firing patterns within each gamma cycle. The network model produces coupling between alpha phase and gamma (40-100 Hz) amplitude in the simulated local field potential similar to that observed experimentally in human and animal recordings.
视觉系统接收到大量的感官信息，其中只有很少一部分与行为相关。我们提出了一种机制，其中α振荡用于对视觉信息的不同成分进行优先级排序。通过模拟神经元网络，我们表明α范围内（约10赫兹）的抑制性调制可用于在时间上分割视觉信息，以防止信息过载。耦合的兴奋性和抑制性神经元产生γ节律，其中信息在每个α周期内根据兴奋性进行分割和分类。进一步的细节由每个γ周期内分布式神经元放电模式编码。该网络模型在模拟的局部场电位中产生α相位与γ（40-100赫兹）振幅之间的耦合，类似于在人类和动物记录中实验观察到的情况。
