Comparison of IT neural response statistics by simulations
文献类型：期刊论文
| 作者 | Dong, Qiulei ; Liu, Bo; Hu, Zhanyi
|
| 刊名 | Frontiers in Computational Neuroscience
 |
| 出版日期 | 2017 |
| 期号 | 60页码:1-19 |
| 关键词 | Synthetic Neuron Response Single-neuron Selectivity Population Sparseness Response Statistics |
| 英文摘要 | Lehky et al. (2011) provided a statistical analysis on the responses of the recorded 674 neurons to 806 image stimuli in anterior inferotemporalm (AIT) cortex of two monkeys. In terms of kurtosis and Pareto tail index, they observed that the population sparseness of both unnormalized and normalized responses is always larger than their single-neuron selectivity, hence concluded that the critical features for individual neurons in primate AIT cortex are not very complex, but there is an indefinitely large number of them. In this work, we explore an “inverse problem” by simulation, that is, by simulating each neuron indeed only responds to a very limited number of stimuli among a very large number of neurons and stimuli, to assess whether the population sparseness is always larger than the single-neuron selectivity. Our simulation results show that the population sparseness exceeds the single-neuron selectivity in most cases even if the number of neurons and stimuli are much larger than several hundreds, which confirms the observations in Lehky et al. (2011). In addition, we found that the variances of the computed kurtosis and Pareto tail index are quite large in some cases, which reveals some limitations of these two criteria when used for neuron response evaluation. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/19713]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 |
| 作者单位 | 1.National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences 2.Department of Artificial Intelligence, University of Chinese Academy of Sciences 3.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Dong, Qiulei,Liu, Bo,Hu, Zhanyi. Comparison of IT neural response statistics by simulations[J]. Frontiers in Computational Neuroscience,2017(60):1-19. |
| APA | Dong, Qiulei,Liu, Bo,&Hu, Zhanyi.(2017).Comparison of IT neural response statistics by simulations.Frontiers in Computational Neuroscience(60),1-19. |
| MLA | Dong, Qiulei,et al."Comparison of IT neural response statistics by simulations".Frontiers in Computational Neuroscience .60(2017):1-19. |
入库方式： OAI收割
来源：自动化研究所
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