The population tracking model : A simple , 1 scalable statistical model for neural population 2 data 3

12 Our understanding of neural population coding has been limited by a lack of analysis methods 13 to characterize spiking data from large populations. The biggest challenge comes from the fact 14 that the number of possible network activity patterns scales exponentially with the number of 15 neurons recorded (⇠ 2Neurons). Here we introduce a new statistical method for characterizing neural 16 population activity that requires semi-independent fitting of only as many parameters as the square 17 of the number of neurons, so requiring drastically smaller data sets and minimal computation time. 18 1 . CC-BY-NC-ND 4.0 International license peer-reviewed) is the author/funder. It is made available under a The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/064717 doi: bioRxiv preprint first posted online Jul. 19, 2016;

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