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?

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Summary

Introduction

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?

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