Journal article
Methods for studying functional interactions among neuronal populations
Methods in molecular biology (Clifton, N.J.), Vol.489, pp.135-165
2009
DOI: 10.1007/978-1-59745-543-5_7
PMCID: PMC3856913
PMID: 18839091
Abstract
How do populations of neurons work together to control behavior? To study this issue, our group simultaneously records from populations of neurons across multiple electrodes in multiple brain regions during operant behavior. Here, we describe methods for quantifying the relationship between neuronal population activity and performance of operant behavioral tasks. We describe statistical techniques, based on time- and trial-shuffling, that can establish the significance of correlations between multiple and simultaneously recorded spike trains. Then, we describe several approaches to studying functional interactions between neurons, including principal component analysis, cross-correlation analysis, analyses of rate correlations, and analyses of shared predictive information. Finally, we compare these techniques using a sample data set and discuss how the combined use of these techniques can lead to novel insights regarding neuronal interactions during behavior.
Details
- Title: Subtitle
- Methods for studying functional interactions among neuronal populations
- Creators
- Nandakumar S Narayanan - The John B. Pierce Laboratory, New Haven, CT, USAMark Laubach
- Resource Type
- Journal article
- Publication Details
- Methods in molecular biology (Clifton, N.J.), Vol.489, pp.135-165
- DOI
- 10.1007/978-1-59745-543-5_7
- PMID
- 18839091
- PMCID
- PMC3856913
- NLM abbreviation
- Methods Mol Biol
- eISBN
- 1597455431; 9781597455435
- ISSN
- 1064-3745
- eISSN
- 1940-6029
- Publisher
- United States
- Grant note
- R56 DK099792 / NIDDK NIH HHS P01 AG030004 / NIA NIH HHS
- Language
- English
- Date published
- 2009
- Academic Unit
- Neurology; Iowa Neuroscience Institute
- Record Identifier
- 9984020708402771
Metrics
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