Effects of ZD7288 on firing pattern of thermosensitive neurons isolated from hypothalamus

The role of the hyperpolarization-activated current (Ih) mediated by HCN channels in temperature sensing by the hypothalamus was addressed. In warm-sensitive neurons (WSNs), exposure to ZD7288, an inhibitor of Ih mediated by hyperpolarization-activated cyclic nucleotide-gated (HCN) channels, decreased their action potential amplitudes and frequencies significantly. By contrast, ZD7288 had little or no effect on temperature-insensitive neurons (TINs). Exposure of WSNs to ZD7288 led to a significant increase in the duration of the inter-spike interval and a reduction of Ih irreversibly. These results suggest that ZD7288 have the contrasting effects on the firing patterns of WSNs versus TINs, which implies HCN channels play a central role in temperature sensing by hypothalamic neurons.     

Design and optimization of a novel fast distributed Kalman consensus filtering algorithm

A new type of fast distributed Kalman consensus filtering algorithm based on local information feedback is presented to tackle filtering problems in wireless sensor networks. First, this fast filtering issues are transformed into a stochastic stability problem of the dynamic estimation errors, which can be solved by Lyapunov's second method and matrix theory. Then, two sufficient conditions about the proportional-like feedback (double gains regulation) method and incremental Proportional-Integral-Derivative (PID) feedback method for the asymptotical stability of the systems are presented, respectively. Moreover, to achieve a faster convergence rate, a novel optimal method is given by combing a genetic algorithm and incremental PID. Finally, an illustrative example is presented to give a comparison of the convergence speed between the three filtering algorithms in the same condition, and verify the effectiveness and advantage of the proposed theoretical results in this article.     

基于BA无标度网络的WSNs拓扑优化模型

由于无线传感器能量受限,最大化网络生命周期成为优化网络拓扑首要考虑的问题。基于BA无标度理论,提出了一种WSNs拓扑优化模型（WTOM）。在网络中引入超级节点,结合粒子群算法合理地划分整个网络;在节点间建立多因素为导向的虚拟力场,利用虚拟力调整超级节点的部署位置,实现网络能量的均衡消耗,通过对关键节点的保护,提高网络的抗毁鲁棒性。经理论分析和实验证明,该网络不仅继承了BA无标度网络的特征还具有小世界特性;同时该动态拓扑延长了网络的生命周期,提高了网络面向数据收集的节能性。