- Poster presentation
- Open Access
Estimating the temporal precision and size of correlated groups of neurons from population activity
© Louis and Grün; licensee BioMed Central Ltd. 2009
- Published: 13 July 2009
- Spike Train
- Analytical Prediction
- Complexity Distribution
- Combinatorial Explosion
- Spike Count
The efficient detection of higher order correlations in massively parallel data is of great importance and represents a significant challenge. To overcome the combinatorial explosion of different spike patterns taking place as the number of neurons increase, a method based on population measures would prove very useful. Following previous work in this direction [1, 2], we examine the distribution of spike counts across neurons per bin (complexity distribution) to extract the size of correlated groups of neurons and their temporal precision.
The results presented in this work point to a rapid method for estimating the presence or not, and even the order as well as the temporal precision of a single synchronous group contained in a large population of neurons without going through pattern analysis.
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This article is published under license to BioMed Central Ltd.