Department of Ophthalmology, University Medical Center Göttingen, Göttingen, Germany.
Bernstein Center for Computational Neuroscience, Göttingen, Germany.
Nat Commun. 2021 Mar 26;12(1):1900. doi: 10.1038/s41467-021-22042-1.
The computations performed by a neural circuit depend on how it integrates its input signals into an output of its own. In the retina, ganglion cells integrate visual information over time, space, and chromatic channels. Unlike the former two, chromatic integration is largely unexplored. Analogous to classical studies of spatial integration, we here study chromatic integration in mouse retina by identifying chromatic stimuli for which activation from the green or UV color channel is maximally balanced by deactivation through the other color channel. This reveals nonlinear chromatic integration in subsets of On, Off, and On-Off ganglion cells. Unlike the latter two, nonlinear On cells display response suppression rather than activation under balanced chromatic stimulation. Furthermore, nonlinear chromatic integration occurs independently of nonlinear spatial integration, depends on contributions from the rod pathway and on surround inhibition, and may provide information about chromatic boundaries, such as the skyline in natural scenes.
神经网络回路的计算取决于其如何将输入信号整合为自身的输出。在视网膜中,神经节细胞会在时间、空间和色彩通道上对视觉信息进行整合。与前两者不同的是,色彩整合在很大程度上尚未被探索。类似于对空间整合的经典研究,我们通过识别绿色或紫外线色彩通道的激活与另一个色彩通道的去激活达到最大平衡的色彩刺激,以此来研究小鼠视网膜中的色彩整合。这揭示了在一些 ON、OFF 和 ON-OFF 神经节细胞亚群中存在非线性的色彩整合。与后两者不同的是,非线性 ON 细胞在色彩刺激达到平衡时会产生抑制而非激活反应。此外,非线性色彩整合独立于非线性空间整合,取决于视杆通路的贡献和周围抑制,并且可能提供有关色彩边界的信息,例如自然场景中的天际线。