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Building population models for large-scale neural recordings: opportunities and pitfalls
- Publication Year :
- 2021
-
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.
- Subjects :
- Quantitative Biology - Neurons and Cognition
Computer Science - Machine Learning
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2102.01807
- Document Type :
- Working Paper