期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
基于交替式超边神经元算法的阿尔茨海默症多模态脑网络融合
1
作者 潘俊任 荆常宏 《计算机科学与应用》 2022年第9期2203-2216,共14页
阿尔茨海默症(Alzheimer’s Disease, AD)是一种常见于中老年人的神经退行性疾病,其病理机制至今尚未明确。通过多模态脑影像来表征脑网络在阿尔茨海默症研究中已显示出巨大的潜力和前景。然而,由于多模态数据之间的异质性,现有大多数... 阿尔茨海默症(Alzheimer’s Disease, AD)是一种常见于中老年人的神经退行性疾病,其病理机制至今尚未明确。通过多模态脑影像来表征脑网络在阿尔茨海默症研究中已显示出巨大的潜力和前景。然而,由于多模态数据之间的异质性,现有大多数融合算法都不能有效利用不同模态数据之间的功能–结构互补信息。为解决上述问题,本文基于超图理论和生成对抗策略,提出了交替式超边神经元算法和最优超图同态算法的多模态脑网络计算方法。具体来说,首先将功能磁共振(fMRI)和弥散张量成像(DTI)利用最优超图同态算法进行超图数据构建,再利用交替式超边神经元算法对fMRI和DTI数据的功能–结构互补特征进行深度融合,最终学习得到疾病相关的多模态脑网络。该模型的优势在于能够最大限度地挖掘疾病相关互补信息,进行多层级交替式深度融合。实验结果表明,该模型不仅能提高阿尔茨海默症早期识别性能,而且能有效检测与阿尔茨海默症相关的异常脑连接作为疾病标志物,为病理机制溯源提供基础。 展开更多
关键词 生成对抗策略 超图 多模态融合 脑网络计算
下载PDF
A framework for end-to-end RSVP context transfer in mobile IPv6 被引量:1
2
作者 刘楚达 钱德沛 +2 位作者 刘轶 李艳萍 肖凯平 《Journal of Central South University of Technology》 EI 2005年第5期584-590,共7页
A framework for end-to-end RSVP context transfer in Mobile IPv6(MIPv6) based on the architecture of F-HMIPv6 is proposed in this paper. The scheme provides an end-to-end RSVP context transfer for real-time application... A framework for end-to-end RSVP context transfer in Mobile IPv6(MIPv6) based on the architecture of F-HMIPv6 is proposed in this paper. The scheme provides an end-to-end RSVP context transfer for real-time applications to overcome the weakness of Context Transfer Protocol which can not meet the need of end-to-end QoS mechanisms because contexts are only transferred between Access Routers(ARs), therefore they can promptly get the same forwarding process, minimize the handover service disruption, and avoid initiating the end-to-end RSVP signaling from scratch after an MN performs handovers. It may also reduce the signaling overhead and handover latencies by adopting the F-HMIPv6architecture. The performance of the approach is compared with the re-initiating RSVP signaling to re-establish QoS states using network simulator, and the numerical results show that the scheme has the less latency and packet loss than that of the re-initiating approach. 展开更多
关键词 RSVP context transfer F-HMIPV6 mobile IPv6
下载PDF
Neural circuit and its functional roles in cerebellar cortex 被引量:1
3
作者 汪雷 刘深泉 《Neuroscience Bulletin》 SCIE CAS CSCD 2011年第3期173-184,共12页
Objective To investigate the spike activities of cerebellar cortical cells in a computational network model con- structed based on the anatomical structure of cerebellar cortex. Methods and Results The multicompartmen... Objective To investigate the spike activities of cerebellar cortical cells in a computational network model con- structed based on the anatomical structure of cerebellar cortex. Methods and Results The multicompartment model of neuron and NEURON software were used to study the external influences on cerebellar cortical cells. Various potential spike patterns in these cells were obtained. By analyzing the impacts of different incoming stimuli on the potential spike of Purkinje cell, temporal focusing caused by the granule cell-golgi cell feedback inhibitory loop to Purkinje cell and spa- tial focusing caused by the parallel fiber-basket/stellate cell local inhibitory loop to Purkinje cell were discussed. Finally, the motor learning process of rabbit eye blink conditioned reflex was demonstrated in this model. The simulation results showed that when the afferent from climbing fiber existed, rabbit adaptation to eye blinking gradually became stable under the Spike Timing-Dependent Plasticity (STDP) learning rule. Conclusion The constructed cerebellar cortex network is a reliable and feasible model. The model simulation results confirmed the output signal stability of cerebellar cortex after STDP learning and the network can execute the function of spatial and temporal focusing. 展开更多
关键词 computational network model cerebellar cortex temporal focusing spatial focusing Spike Timing-DependentPlasticity eye blink conditioned reflex
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部