AI 中文总结
该研究结合果蝇大脑连接组与脉冲神经元模型，证实无皮层结构的果蝇视叶可产生连贯方位图，为独立起源物种进化出相似视觉结构提供了依据。
AI 中文摘要
从视觉输入中提取方位边缘的能力是动物视觉系统的核心计算功能。方位图长期以来与哺乳动物视觉皮层的分层结构相关联，它会根据神经元的偏好边缘方位对其进行系统性组织。尽管果蝇（Drosophila melanogaster）大脑缺乏皮层结构，但它包含特征选择性神经元，且具备复杂的视觉检测能力，这就提出了一个问题：在没有皮层结构的情况下，是否也能产生类似地图的视觉表征？我们将完整的果蝇大脑连接组与基于生物学的脉冲神经元模型相结合，模拟果蝇视觉系统的神经处理过程。通过用方位刺激驱动网络并分析下游反应，我们发现完全由连接组约束的动态过程能够产生连贯的方位图。这些结果表明，起源独立的物种可能进化出相似的视觉结构。
英文摘要
The ability to extract oriented edges from visual input is a core computation across animal vision systems. Orientation maps, long associated with the layered architecture of the mammalian visual cortex, systematically organise neurons by their preferred edge orientation. Despite lacking cortical structures, the Drosophila melanogaster brain contains feature-selective neurons and exhibits complex visual detection capacity, raising the question of whether map-like vision representations can emerge without cortical infrastructure. We integrate a complete fruit fly brain connectome with biologically grounded spiking neuron models to simulate neuroprocessing in the fly visual system. By driving the network with oriented stimuli and analysing downstream responses, we show that coherent orientation maps can emerge from purely connectome-constrained dynamics. These results suggest that species of independent origin could evolve similar visual structures.
CommentsNeurIPS 2025, 29 pages
