Abstract
Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data
Highlights
While the wealth of new experimental data generated by these techniques provides exciting opportunities to test ideas about how neural ensembles operate, it provides major challenges: multi-cell recordings necessarily yield data which is high-dimensional in nature
In order to collect some of the recent progress in this field, and to foster discussion on the most important directions and most pressing questions, we issued a call for papers for this Research Topic
We asked authors to address the following four questions: 1. What classes of statistical methods are most useful for modeling population activity?
Summary
While the wealth of new experimental data generated by these techniques provides exciting opportunities to test ideas about how neural ensembles operate, it provides major challenges: multi-cell recordings necessarily yield data which is high-dimensional in nature. In order to collect some of the recent progress in this field, and to foster discussion on the most important directions and most pressing questions, we issued a call for papers for this Research Topic. What classes of statistical methods are most useful for modeling population activity?
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
