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吸引子网络模型能解释前额皮质持续活动时的放电统计吗?Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex? |
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| 课程网址: | http://videolectures.net/eccs08_brunel_canmaftsof/ |
| 主讲教师: | Nicolas Brunel |
| 开课单位: | 任德嘉大学 |
| 开课时间: | 2008-10-17 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Persistent activity observed in neurophysiological experiments in monkeys is thought to be the neuronal correlate of working memory. Over the last decade, network modelers have strived to reproduce the main features of these experiments. In particular, attractor network models have been proposed in which there is a coexistence between a non-selective attractor state with low background activity with selective attractor states in which sub-groups of neurons fire at rates which are higher (but not much higher) than background rates. A recent detailed statistical analysis of the data seems however to challenge such attractor models: the data indicates that firing during persistent activity is highly irregular (with an average CV larger than 1), while models predict a more regular firing process (CV smaller than 1). I will discuss how this feature can be reproduced in a network of excitatory leakly integrate-and-fire neurons. |
| 关 键 词: | 神经生理学; 神经元; 工作记忆细胞; 网络建模; 吸引子网络模型; 神经元亚群; 兴奋传递 |
| 课程来源: | 视频讲座网公开课 |
| 最后编审: | 2019-05-26：cwx |
| 阅读次数: | 72 |