【24h】

Attractor Network Models of Cortical Associative Memory

机译:皮质联想记忆的吸引子网络模型

获取原文
获取原文并翻译 | 示例

摘要

The theories of early brain scientists like Hebb and v. Hayek were in many ways analogous to modern attractor network models. In a series of simulations we have addressed the question whether or not a network of biological neurons could function as an attractor network. We found robust attractor dynamics displayed on a time-scale compatible with perceptual performance. The action at the cellular level of monoamine neuromodulators, like e.g. serotonin, could be modelled an effects on network behaviour were observed. The brain, however, is a highly complex multi-network structure and models have to take this into account before one can get a more complete understanding of the full range of its function.
机译:像赫布(Hebb)和哈耶克(V. Hayek)这样的早期大脑科学家的理论在很多方面都类似于现代吸引网络模型。在一系列模拟中,我们解决了生物神经元网络是否可以充当吸引子网络的问题。我们发现鲁棒的吸引子动力学在与感知性能兼容的时间尺度上显示。单胺神经调节剂在细胞水平上的作用,例如5-羟色胺,可以被模拟对网络行为的影响。然而,大脑是一种高度复杂的多网络结构,在人们对其功能的全部范围有了更全面的了解之前,必须将模型考虑在内。

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