Sparse low-order interaction network underlies a highly correlated and learnable neural population code
Information is carried in the brain by the joint activity patterns of large groups of neurons. Understanding the structure and function of population neural codes is challenging because of the exponential number of possible activity patterns and dependencies among neurons. We report here that for gr...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2011-06, Vol.108 (23), p.9679-9684 |
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