PDF(Pubmed)
Abstract：
UNASSIGNED: A retinal mosaic, the spatial organization of a population of homotypic neurons, is thought to sample a specific visual feature into the feedforward visual pathway. The purpose of this study was to propose a universal modeling approach for precisely generating retinal mosaics and overcoming the limitations of previous models, especially in modeling abnormal mosaic patterns under disease conditions.
UNASSIGNED: Here, we developed the optimization-based pairwise interaction point process (O-PIPP). It incorporates optimization techniques into previous simulation approaches, enabling directional control of the simulation process according to the user-designed optimization target. For the convenience of the community, we implemented the O-PIPP approach into a Python package and a website application.
UNASSIGNED: We showed that the O-PIPP can generate more precise neural spatial patterns of healthy and diseased mosaics compared to previous phenomenological approaches. Notably, through modeling the retinal neural circuitry with O-PIPP-simulated retinitis pigmentosa cone mosaics, we elucidated how the cone mosaic rearrangement impacted the information processing of ganglion cells.
UNASSIGNED: The O-PIPP provides a precise and universal tool to simulate realistic mosaics, which could help to investigate the function of retinal mosaics in vision.
UNASSIGNED: Here, we developed the optimization-based pairwise interaction point process (O-PIPP). It incorporates optimization techniques into previous simulation approaches, enabling directional control of the simulation process according to the user-designed optimization target. For the convenience of the community, we implemented the O-PIPP approach into a Python package and a website application.
UNASSIGNED: We showed that the O-PIPP can generate more precise neural spatial patterns of healthy and diseased mosaics compared to previous phenomenological approaches. Notably, through modeling the retinal neural circuitry with O-PIPP-simulated retinitis pigmentosa cone mosaics, we elucidated how the cone mosaic rearrangement impacted the information processing of ganglion cells.
UNASSIGNED: The O-PIPP provides a precise and universal tool to simulate realistic mosaics, which could help to investigate the function of retinal mosaics in vision.
摘要：
■视网膜马赛克,同型神经元群体的空间组织，被认为是将特定的视觉特征采样到前馈视觉路径中。这项研究的目的是提出一种通用的建模方法，用于精确生成视网膜马赛克并克服以前模型的局限性，特别是在疾病条件下对异常马赛克模式进行建模。
■这里，我们开发了基于优化的成对交互点过程(O-PIPP)。它将优化技术融入到以前的模拟方法中，根据用户设计的优化目标实现对仿真过程的定向控制。为了社区的方便，我们将O-PIPP方法实现到一个Python包和一个网站应用程序中。
■我们表明，与以前的现象学方法相比，O-PIPP可以生成更精确的健康和患病镶嵌的神经空间模式。值得注意的是,通过用O-PIPP模拟的色素性视网膜炎锥形马赛克对视网膜神经回路进行建模，我们阐明了锥马赛克重排如何影响神经节细胞的信息处理。
■O-PIPP提供了一种精确而通用的工具来模拟逼真的马赛克，这可能有助于研究视网膜马赛克在视觉中的功能。
■这里，我们开发了基于优化的成对交互点过程(O-PIPP)。它将优化技术融入到以前的模拟方法中，根据用户设计的优化目标实现对仿真过程的定向控制。为了社区的方便，我们将O-PIPP方法实现到一个Python包和一个网站应用程序中。
■我们表明，与以前的现象学方法相比，O-PIPP可以生成更精确的健康和患病镶嵌的神经空间模式。值得注意的是,通过用O-PIPP模拟的色素性视网膜炎锥形马赛克对视网膜神经回路进行建模，我们阐明了锥马赛克重排如何影响神经节细胞的信息处理。
■O-PIPP提供了一种精确而通用的工具来模拟逼真的马赛克，这可能有助于研究视网膜马赛克在视觉中的功能。
