成年海马神经再生改善模式分离鲁棒性  

Adult Hippocampal Neurogenesis for Improved Pattern Separation Robustness

作　　者：王增宾 孙晓娟[1] Wang Zengbin;Sun Xiaojuan(School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]北京邮电大学理学院,北京100876

出　　处：《动力学与控制学报》2023年第3期77-84,共8页Journal of Dynamics and Control

基　　金：国家自然科学基金资助项目(12072046)。

摘　　要：成年海马神经再生(adult hippocampal neurogenesis,AHN)被认为能有效参与齿状回(dentate gyrus,DG)网络来加强模式分离功能.目前虽然神经再生在模式分离中的潜在作用已在理论上得到了研究,但产生的新生颗粒细胞在信息处理和网络调节中的具体作用仍存在争议.针对上述问题,本文引入4-6周新生颗粒细胞作为独立的信息处理单元,提出了一种具有神经再生的DG网络计算模型.重点研究了不同输入刺激下新生颗粒细胞对模式分离的贡献.通过模拟实验,本文发现在不同强度的刺激下,新生颗粒细胞在齿状回网络中扮演着不同的角色.在低强度刺激下,新生颗粒细胞利用其易激活的神经元特性,可以恢复网络的信息表达能力,避免模式分离失败.在高强度刺激下,新生颗粒细胞作为一种中间神经元,能有效增强局部回路的反馈抑制作用,提高成熟颗粒细胞的稀疏性,最终增强模式分离功能.因此,该模型预测了在更精细和更广泛的输入下,成年海马神经再生在模式分离鲁棒性中的关键作用.Adult hippocampal neurogenesis(AHN)has been considered to effectively participate in the dentate gyrus(DG)network to strengthen the function of pattern separation.Although the potential role of neurogenesis in pattern separation has been theoretically studied,the detailed effects of newborn granule cells on information processing and network regulation are still under debate.For the aforementioned difficulty,this work introduce 4-6-week newborn granule cells as independent information processing units and propose a novel computational model of the DG network with neurogenesis.This work investigate the contribution of newborn granule cells to pattern separation under different input stimuli.With the aid of simulation results,it shows that newborn granule cells play different roles in the DG network when receiving different intensities of stimulation.Under low intensity stimulus,newborn granule cells can restore the information representation ability of the network and avoid pattern separation failure by taking advantage of their easily activated neuronal properties.Under high intensity stimulus,as a kind of interneurons,newborn granule cells can enhance the feedback inhibition effect of local circuits to improve the sparsity of mature granule cells,and ultimately improve the function of pattern separation.Therefore,this model predicts a critical role of adult hippocampal neurogenesis in pattern separation robustness under more subtle and extensive input.

关 键 词：海马神经再生 新生颗粒细胞 模式分离 稀疏性 齿状回 

分 类 号：O193[理学—数学]