标题： 阿利突触可塑性与记忆 显示英文标题

标题： Allee Synaptic Plasticity and Memory

摘要： 神经可塑性是生物系统中记忆存储和检索的基础，但现有模型在处理噪声敏感性和无限制的突触权重增长方面往往存在不足。 本文研究了基于阿利效应的非线性可塑性模型，强调其生物启发的权重稳定机制、增强的噪声鲁棒性以及突触调节的关键阈值。 我们分析了其在记忆保持和模式检索中的性能，证明其容量和可靠性优于经典的赫布规则和奥加规则。 为解决时间限制问题，我们通过整合时间依赖的动力学，包括资格痕迹和振荡输入，扩展了该模型，从而提高了动态环境中的检索准确性和抗干扰能力。 这项工作将理论见解与实际应用相结合，提供了一个稳健的框架来模拟神经适应，并为人工智能和神经科学的进步提供了指导。 显示英文摘要

摘要： Neural plasticity is fundamental to memory storage and retrieval in biological systems, yet existing models often fall short in addressing noise sensitivity and unbounded synaptic weight growth. This paper investigates the Allee-based nonlinear plasticity model, emphasizing its biologically inspired weight stabilization mechanisms, enhanced noise robustness, and critical thresholds for synaptic regulation. We analyze its performance in memory retention and pattern retrieval, demonstrating increased capacity and reliability compared to classical models like Hebbian and Oja's rules. To address temporal limitations, we extend the model by integrating time-dependent dynamics, including eligibility traces and oscillatory inputs, resulting in improved retrieval accuracy and resilience in dynamic environments. This work bridges theoretical insights with practical implications, offering a robust framework for modeling neural adaptation and informing advances in artificial intelligence and neuroscience.