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- W2084865984 endingPage "P03010" @default.
- W2084865984 startingPage "P03010" @default.
- W2084865984 abstract "Experimental evidence shows that cortical activity exhibits correlated variability, often referred to as noise correlations. Reported correlation coefficients cover a wide range of values, from moderate to very small ones. There is an evident need of models and mathematical techniques with which to guide the interpretation of these results. However, the very existence of correlated variability is responsible for the technical difficulties that have prevented theory from making enough progress in determining how noise correlations are related to neuron and network properties. Here we review recent work that we have done to develop a program to study these issues. Given that noise correlations depend on the behavioral state, understanding how they are generated is a critical problem that has to be solved before biophysical models can be used to study behavioral tasks." @default.
- W2084865984 created "2016-06-24" @default.
- W2084865984 creator A5047074677 @default.
- W2084865984 date "2013-03-12" @default.
- W2084865984 modified "2023-10-18" @default.
- W2084865984 title "Towards a self-consistent description of irregular and asynchronous cortical activity" @default.
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- W2084865984 doi "https://doi.org/10.1088/1742-5468/2013/03/p03010" @default.
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