果蠅腦的腦區功能與活動在神經科學上已經被大量研究了幾十年。然而更進一步在有系統的研究網路機制時卻會遭遇到需要發展以個別神經元為基礎的網路模型這樣的困難。在本文的研究中，我們以世界上最大的聯結體計畫之一 FlyCircuit (http://www.flycircuit.tw)為基礎來發展Flysim神經模擬器平台以面對這些任務。該資料庫提供了超過20,000個神經元的型態與其3D位置，可讓有系統的全腦網路研究成為可能。而開發Flysim平台包含了幾樣任務，1)辨認神經元所屬神經棚架的連接極性、2)採用較有信心的方式預測神經元之間的連接、3)根據資料庫的神經型態資料進而轉換成為生理資料以供計算神經模型使用、4)建立了全腦網路其有20089個神經元與1044020條突觸連接、5)模擬全腦網路的休息狀態。在此我們建立實驗組的重建腦網路與將其連結重新洗牌後的對照組隨機腦網路並且相互比較。我們可以看到給予有短期突觸抑制下的重建腦網路比較容易有穩定的狀態而隨機腦網路容易發生類似抽搐狀態的腦活動。更進一步、重建腦網路有結構與動態上相對於隨機腦網路的多樣性，且重建腦網路會同時呈現近似卜瓦松與有規則性的腦活動。

The functions and activities of fruit fly (Drosophila melanogaster) brains have been extensively studied in neuroscience for decades. However, in order to gain a more systematic understanding of the underlying neural mechanisms, it is crucial to develop a single-cell level computational model for the fruit fly brains. In this study, we developed the Flysim platform based on one of the world largest Drosophila neuron connectome databases, FlyCircuit (http://www.flycircuit.tw) , to face these tasks. The database has provided over 20,000 neuronal images with morphology and the 3D positions, making a systematic investigation of the whole brain circuit possible. The development of the Flysim platform consists of several tasks: 1) identifying the polarity of each neuron arbor, 2) predicting connections between neurons with more confident method, 3) translating morphology data from the database into physiology parameters for computational modeling, 4) reconstructing a brain-wide network model, which consists of 20,089 neurons and 1,044,020 synapses, and 5) performing computer simulations of the resting state. We compared the reconstructed brain network with a randomized brain network by shuffling the connections of each neuron. We found that the reconstructed brain can be more stabilized, while the randomized one exhibited seizure-like firing activity by apply the same synaptic short-term depression. Furthermore, the reconstructed Drosophila brain was structurally and dynamically more diverse than the randomized one and exhibited both Poisson-like and patterned firing activities.

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