Hybrid neural networks in the mushroom body drive olfactory preference in Drosophila

In Drosophila melanogaster, olfactory encoding in the mushroom body (MB) involves thousands of Kenyon cells (KCs) processing inputs from hundreds of projection neurons (PNs). Recent data challenge the notion of random PN-to-KC connectivity, revealing preferential connections between food-related PNs and specific KCs. Our study further uncovers a broader picture—an L-shaped hybrid network, supported by spatial patterning: food-related PNs diverge across KC classes, while pheromone-sensitive PNs converge on γ KCs. α/β KCs specialize in food odors, while γ KCs integrate diverse inputs. Such spatial arrangement extends further to the antennal lobe (AL) and lateral horn (LH), shaping a systematic olfactory landscape. Moreover, our functional validations align with computational predictions of KC odor encoding based on the hybrid connectivity, correlating PN-KC activity with behavioral preferences. Additionally, our simulations showcase the network’s augmented sensitivity and precise discrimi..., , , # Hybrid neural networks in the mushroom body drive olfactory preference in Drosophila

## Description of the data and file structure

### Project Overview

**We provide the code used to reproduce the results presented in our paper, *\"Hybrid Neural Networks in the Mushroom Body Drive Olfactory Preference in Drosophila.\"***

Our code performs a range of connectomic analyses using data from the **hemibrain** and **FAFB** datasets, and further integrates functional data from the **DoOR** database and behavioral data from **Knaden et al., 2012**.

Due to licensing restrictions, the associated data is not included here. To access the data, please visit: [https://doi.org/10.5281/zenodo.15263535](https://doi.org/10.5281/zenodo.15263535). 

## References:

### Behavioral Data:

* Knaden, M., Strutz, A., Ahsan, J., Sachse, S., & Hansson, B. S. (2012). Spatial representation of odorant valence in an insect brain. Cell reports, 1(4), 392-399.

### Functional Data:

* Münch, D., & Galizia, C. G. (2...,

在黑腹果蝇（Drosophila melanogaster）中，蕈形体（mushroom body, MB）的嗅觉编码由数千个肯扬细胞（Kenyon cells, KCs）完成，这些细胞负责处理来自数百个投射神经元（projection neurons, PNs）的输入信号。近期研究对“投射神经元与肯扬细胞的连接具有随机性”这一传统观点提出了挑战，揭示了与食物相关的投射神经元与特定肯扬细胞之间存在偏好性连接。本研究进一步揭示了更为完整的图景：一种受空间排布模式支撑的L形混合神经网络——与食物相关的投射神经元在不同类别的肯扬细胞间存在分支投射，而对信息素敏感的投射神经元则会聚至γ型肯扬细胞。α/β型肯扬细胞专门处理食物气味信息，而γ型肯扬细胞则整合多种不同的输入信号。这种空间排布模式同样延伸至触角叶（antennal lobe, AL）和侧角（lateral horn, LH），共同构建了一套系统化的嗅觉表征图谱。此外，本研究的功能验证结果与基于该混合连接模式的肯扬细胞嗅觉编码计算预测结果一致，将投射神经元-肯扬细胞的活动与果蝇的行为偏好建立了关联。此外，本研究的仿真实验展示了该网络增强的敏感性与精准的判别……

# 黑腹果蝇蕈形体混合神经网络驱动嗅觉偏好

## 数据与文件结构说明

### 项目概述
**本数据集提供了复现本团队论文《黑腹果蝇蕈形体混合神经网络驱动嗅觉偏好》（Hybrid Neural Networks in the Mushroom Body Drive Olfactory Preference in Drosophila）中结果的代码。**

本代码基于**半脑连接组（hemibrain）**与**FAFB**数据集开展一系列连接组学分析，并进一步整合了来自**DoOR数据库**的功能数据以及Knaden等人2012年的行为学数据。

由于版权许可限制，本数据集未附带相关原始数据。如需获取数据，请访问：[https://doi.org/10.5281/zenodo.15263535](https://doi.org/10.5281/zenodo.15263535)。

## 参考文献
### 行为学数据
* Knaden, M., Strutz, A., Ahsan, J., Sachse, S. 与 Hansson, B. S. (2012). 昆虫大脑中气味效价的空间表征. 《Cell Reports》, 1(4), 392-399.

### 功能学数据
* Münch, D., & Galizia, C. G. (2...