【24h】

Proposal for ranking nodes of neural network using activity index

机译:使用活动索引来排名神经网络节点的提案

获取原文

摘要

Neuron form the basic computation unit of brain. These cells form connection with one another in the brain and form network in which information is processed. Immense information processing ability of neural network is attributed to its exceptional parallel processing. Neuron in network fires spikes which travels and effect other neurons in the network as well. Brain cultures of rat embryos are made on multi electrode array dish. MEA dish facilitates study of network topology as it allows recording from population of neuron. Time of spike occurrences in the network was recorded along with the electrode from which activity was recorded. For analysis of network related activity of dynamic network of neurons, the proposed framework ranks nodes of network based on two paradigms and defines a parameter activity index. Activity index takes into account the activity of neuron and reports the changing of activity hub of the neuron network with time. A comparative study is done on the result of two paradigms.
机译:神经元形成脑的基本计算单元。这些细胞在大脑中形成彼此的连接,并形成处理信息的网络。神经网络的巨大信息处理能力归因于其特殊并行处理。网络中的神经元在网络中发射尖峰,在网络中进行行进并影响其他神经元。大鼠胚胎的脑培养是在多电极阵列盘上进行的。 MEA DISH促进了网络拓扑的研究,因为它允许从神经元种群记录。网络中的尖峰发生时间与记录活动的电极一起记录。为了分析神经元动态网络的网络相关活动,所提出的框架基于两个范例排序网络节点并定义参数活动索引。活动指数考虑了神经元的活动,并随时间报告神经元网络的活动中心的变化。对比较研究是在两个范式的结果上完成的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号