CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Comparison of IT neural response statistics by simulations
Dong, Qiulei; Liu, Bo; Hu, Zhanyi
Source PublicationFrontiers in Computational Neuroscience
AbstractLehky 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.
KeywordSynthetic Neuron Response Single-neuron Selectivity Population Sparseness Response Statistics
Indexed BySCI
Document Type期刊论文
Affiliation1.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
Recommended Citation
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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Comparison of IT Neu(5423KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Dong, Qiulei]'s Articles
[Liu, Bo]'s Articles
[Hu, Zhanyi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Dong, Qiulei]'s Articles
[Liu, Bo]'s Articles
[Hu, Zhanyi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Dong, Qiulei]'s Articles
[Liu, Bo]'s Articles
[Hu, Zhanyi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Comparison of IT Neural Response Statistics with Simulations.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.