He Liuyuan, He Yutao, Ma Lei, Huang Tiejun
National Engineering Research Center of Visual Technology, School of Computer Science, Peking University, Beijing, China.
National Biomedical Imaging Center, Peking University, Beijing, China.
Front Comput Neurosci. 2022 Nov 16;16:1034446. doi: 10.3389/fncom.2022.1034446. eCollection 2022.
In the Outer Plexiform Layer of a retina, a cone pedicle provides synaptic inputs for multiple cone bipolar cell (CBC) subtypes so that each subtype formats a parallelized processing channel to filter visual features from the environment. Due to the diversity of short-term depressions among cone-CBC contacts, these channels have different temporal frequency tunings. Here, we propose a theoretical model based on the hierarchy Linear-Nonlinear-Synapse framework to link the synaptic depression and the neural activities of the cone-CBC circuit. The model successfully captures various frequency tunings of subtype-specialized channels and infers synaptic depression recovery time constants inside circuits. Furthermore, the model can predict frequency-tuning behaviors based on synaptic activities. With the prediction of region-specialized UV cone parallel channels, we suggest the acute zone in the zebrafish retina supports detecting light-off events at high temporal frequencies.
在视网膜的外网状层中,一个视锥小足为多个视锥双极细胞(CBC)亚型提供突触输入,以便每个亚型形成一个并行处理通道,从环境中过滤视觉特征。由于视锥细胞与CBC接触之间短期抑制的多样性,这些通道具有不同的时间频率调谐。在这里,我们提出了一个基于层次线性 - 非线性 - 突触框架的理论模型,以连接突触抑制和视锥细胞 - CBC回路的神经活动。该模型成功捕获了亚型特异性通道的各种频率调谐,并推断出回路内突触抑制恢复时间常数。此外,该模型可以根据突触活动预测频率调谐行为。通过对区域特异性紫外视锥平行通道的预测,我们认为斑马鱼视网膜中的急性区支持在高时间频率下检测光熄灭事件。