English(EN) Sensorimotor behaviour from an untrained brain-and-nerve-cord connectome

未训练的果蝇连接组可实现学习行为逆转

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 19:49

研究人员利用已发布的、参数未经调整的大脑模型，将成年果蝇的大脑和神经索连接组转化为脉冲神经网络。当在体内进行模拟时，该网络通过连接感觉输入和运动神经元输出的简单规则，实现了接近95%的嗅源的障碍导航。研究发现，蘑菇体中的多巴胺门控突触减弱使果蝇能够将其行为从接近气味逆转为避开气味，这表明即使是未训练的连接组也能支持学习行为的逆转。 AI

影响展示了如何对生物连接组进行计算建模以理解行为，可能为未来的AI架构提供信息。

排序理由该集群包含一篇详细介绍新计算模型和实验结果的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

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arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Mircea Teodorescu · 2026-10-24 19:49

来自未训练的大脑和脊髓连接组的运动感觉行为

Connectomes now map the neurons and synapses of an adult fly's brain and nerve cord, but how much of behaviour follows from the wiring is unknown. Here we turn one such connectome into a spiking network of 172,433 neurons with a published brain model's untuned parameters, and run…

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来自未训练的大脑和脊髓连接组的运动感觉行为

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