English

Building population models for large-scale neural recordings: opportunities and pitfalls

Neurons and Cognition 2021-07-13 v4 Machine Learning

Abstract

Modern recording technologies now enable simultaneous recording from large numbers of neurons. This has driven the development of new statistical models for analyzing and interpreting neural population activity. Here we provide a broad overview of recent developments in this area. We compare and contrast different approaches, highlight strengths and limitations, and discuss biological and mechanistic insights that these methods provide.

Keywords

Cite

@article{arxiv.2102.01807,
  title  = {Building population models for large-scale neural recordings: opportunities and pitfalls},
  author = {Cole Hurwitz and Nina Kudryashova and Arno Onken and Matthias H. Hennig},
  journal= {arXiv preprint arXiv:2102.01807},
  year   = {2021}
}