English(EN) Transmission Neural Networks: Inhibitory and Excitatory Connections

传输神经网络：抑制性和兴奋性连接论文发布

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

本文介绍了一种传输神经网络模型的扩展，该模型结合了抑制性连接和神经递质动力学。研究人员对神经元发放概率进行了表征，并证明了使用具有连续状态的神经网络可以实现等效表示。该研究还对神经递质种群进行了建模，并分析了所得极限网络的稳定性和收缩性质。 AI

影响引入了一种新颖的神经网络模型，可能对理解复杂的生物神经网络系统具有潜在意义。

排序理由学术论文发布在arXiv上。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

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arXiv cs.LG TIER_1 English(EN) · Shuang Gao, Peter E. Caines · 2026-10-09 04:00

传输神经网络：抑制性和兴奋性连接

arXiv:2604.04246v2 Announce Type: replace-cross Abstract: This paper extends the Transmission Neural Network model proposed by Gao and Caines in [1]-[3] to incorporate inhibitory connections and neurotransmitter populations. The extended network model contains binary neuronal sta…