首页> 外文会议>ICANN 2010;International conference on artificial neural networks >Computational Inferences on Alteration of Neurotransmission in Chemotaxis Learning in Caenorhabditis elegans
【24h】

Computational Inferences on Alteration of Neurotransmission in Chemotaxis Learning in Caenorhabditis elegans

机译:秀丽隐杆线虫趋化性学习中神经传递改变的计算推论。

获取原文

摘要

Caenorhabditis elegans changes its NaCl-associated behavior from attraction to avoidance following exposure to NaCl in the absence of food (salt chemotaxis learning). To understand the changes induced by chemotaxis learning at the neuronal network level, we modeled a neu-ronal network of chemotaxis and estimated the changes that occurred in the nervous system by comparing the neuronal connection weights prior to and after chemotaxis learning. Our results revealed that neurotransmission involving ASE and AIA neurons differed prior to and after chemotaxis learning. This partially corresponded to the experimental findings of previous studies. In addition, our computational inference results suggest the involvement of novel synapse connections in chemotaxis learning. Our approach to estimate changes of neurotransmission corresponding to learning may help in planning experiments in order of importance.
机译:秀丽隐杆线虫在缺乏食物的情况下暴露于NaCl后,其与NaCl相关的行为从吸引改变为避免(盐趋化性学习)。为了了解在神经元网络水平上由趋化性学习引起的变化,我们对趋化性的神经网络建模,并通过比较趋化性学习前后的神经元连接权重来估计神经系统中发生的变化。我们的结果表明,在趋化性学习前后,涉及ASE和AIA神经元的神经传递有所不同。这部分与先前研究的实验结果相对应。此外,我们的计算推断结果表明,新型突触连接参与了趋化性学习。我们估计与学习相对应的神经传递变化的方法可能有助于按重要性顺序计划实验。

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