首页> 外文期刊>Neural computation >Detecting and Estimating Signals in Noisy cable Structure, Ⅰ: Neuronal Noise Sources
【24h】

Detecting and Estimating Signals in Noisy cable Structure, Ⅰ: Neuronal Noise Sources

机译:噪声电缆结构中的信号检测与估计,Ⅰ:神经元噪声源

获取原文
获取原文并翻译 | 示例
       

摘要

In recent theoretical approaches addressing the problem of neural cod- ing, tools from statistical estimation and information theory have been applied to quantify the ability of neurons to transmit information through their spike outputs. These techniques, though fairly general, ignore the specific nature of neuronal processing in terms of its known biophysical properties. However, a systematic study of processing at various stages in a biophysically faithful model of a single neuron can identify the role of each stage in information transfer.
机译:在解决神经编码问题的最新理论方法中,来自统计估计和信息理论的工具已被用于量化神经元通过其峰值输出传递信息的能力。这些技术虽然相当笼统,但就其已知的生物物理特性而言,却忽略了神经元加工的特殊性质。但是,对单个神经元的生物物理忠实模型中各个阶段进行处理的系统研究可以确定每个阶段在信息传递中的作用。

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