论文标题
果蝇中嗅觉和记忆的描述性分析及其与人工神经网络的关系
A descriptive analysis of olfactory sensation and memory in Drosophila and its relation to artificial neural networks
论文作者
论文摘要
本文提供了昆虫记忆的背景和描述性分析，以及果蝇中嗅觉的编码，介绍了大量神经元和突触数据集的图形和摘要统计数据，这些神经元和突触最近已公开获得，并讨论了现有经验文献的发现。讨论了果蝇嗅觉的一些一般原则，因为它们适用于人工神经网络中类似系统的设计：（1）用于编码的网络很浅； （2）在同一层的神经元之间，连接度的水平差异很大； （3）在同一层的神经元之间进行了很多交流； （4）在大多数嗅觉学习中，在存储记忆中表示的感觉输入的方式基本上是固定的，并且学习过程涉及与现有输入类别的正面或负相关。
This article provides a background and descriptive analysis of insect memory and the coding of olfactory sensation in Drosophila, presenting graphs and summary statistics from a large dataset of neurons and synapses that was recently made publicly available and also discussing findings from the existing empirical literature. Some general principles from Drosophila olfaction are discussed as they apply to the design of analogous systems in artificial neural networks: (1) the networks used for coding are shallow; (2) the level of connectedness varies widely across neurons in the same layer; (3) much communication is between neurons in the same layer; (4) in most olfactory learning, the manner in which sensory inputs are represented in stored memory is largely fixed, and the learning process involves developing positive or negative associations with existing categories of inputs.
