Department of Electrical & Computer Engineering, Center for BioEngineering, Neuroscience Research Institute, University of California, Santa Barbara, Santa Barbara, CA 93106, USA.
Neuroscience Research Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Curr Biol. 2022 Jul 11;32(13):2810-2820.e5. doi: 10.1016/j.cub.2022.04.091. Epub 2022 May 23.
The mouse visual cortex contains interconnected higher visual areas, but their functional specializations are unclear. Here, we used a data-driven approach to examine the representations of complex visual stimuli by L2/3 neurons across mouse higher visual areas, measured using large-field-of-view two-photon calcium imaging. Using specialized stimuli, we found higher fidelity representations of texture in area LM, compared to area AL. Complementarily, we found higher fidelity representations of motion in area AL, compared to area LM. We also observed this segregation of information in response to naturalistic videos. Finally, we explored how receptive field models of visual cortical neurons could produce the segregated representations of texture and motion we observed. These selective representations could aid in behaviors such as visually guided navigation.
鼠类视觉皮层包含相互连接的高级视觉区域,但它们的功能特化尚不清楚。在这里,我们使用一种数据驱动的方法,通过大视场双光子钙成像来检测小鼠高级视觉区域中 L2/3 神经元对复杂视觉刺激的反应。使用专门的刺激,我们发现与 AL 区域相比,LM 区域对纹理的表示具有更高的保真度。此外,我们发现与 LM 区域相比,AL 区域对运动的表示具有更高的保真度。我们还在对自然视频的反应中观察到了这种信息的分离。最后,我们探讨了视觉皮层神经元的感受野模型如何产生我们观察到的纹理和运动的分离表示。这些选择性的表示可能有助于像视觉引导导航这样的行为。