首页> 外文会议>International Conference on Artificial Neural Networks >Location-Dependent Dendritic Computation in a Modeled Striatal Projection Neuron
【24h】

Location-Dependent Dendritic Computation in a Modeled Striatal Projection Neuron

机译:模型纹纹纹突出神经元中的位置依赖性树突计算

获取原文

摘要

The striatum comprises part of a feedback loop between the cerebral cortex, thalamus and other nuclei of the basal ganglia, ultimately guiding action selection and motor learning. Much of this is facilitated by striatal projection neurons, which receive and process highly convergent cortical and thalamic excitatory inputs. All of the glutamatergic inputs to projection neurons synapse on dendrites, many directly on spine heads. The distal, but not proximal, dendrites of projection neurons are capable of supporting synaptically driven regenerative events, which are trans-fered to the soma as depolarized upstates from which action potentials can occur. In this study we present a modified NEURON model of a stri-atal projection neuron, and use it to examine the location-dependence of upstate generation and action potential gating. Specifically, simulations show that the small diameter of distal SPN dendrites can support plateau potentials by increasing the cooperativity among neighboring spines. Furthermore, such distally evoked plateaus can boost the somatic response to stimulation of proximal dendritic spines, facilitating action potential generation. The implications these results have for action selection are discussed.
机译:纹状体包括大脑皮质,丘脑和基底神经节的其它核,最终引导动作选择和运动学习之间的反馈回路的一部分。这在很大程度上是由纹状体投射神经元,其接收和处理高会聚皮质和丘脑兴奋性输入变得容易。所有的谷氨酸能输入到投射神经元突触上的树突,许多直接在脊柱头。远端,而不是近端,投射神经元的树突能够支持突触从动再生事件,它们是反式fered到细胞体作为去极化upstates从中动作电位可能发生。在这项研究中,我们提出一个STRI - 爱德华投射神经元的修改神经元模型,并用它来检验北部代和动作电位门的位置依赖性。具体而言,模拟显示,远侧SPN树突的小直径可以通过增加相邻棘间的协同性支持高原电位。此外,这种向远侧诱发高原可以提高到近端树突棘刺激躯体反应,有利于动作电位产生。行动选择的影响,这些结果都进行了讨论。

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