Differential Consolidation and Pattern Reverberations within Episodic Cell Assemblies in the Mouse Hippocampus
Figure 10
Shuffling of the data leads to the collapse of classification of population patterns.
Scrambling technique revealed large overlap between the drop, shake and rest clusters (B) in comparison to the distinct clusters prior to shuffling (A). When the neural activities collected during events were shuffled among different units, the overall cluster structure collapses. In the case of air cluster, data shuffling leads to the misclassification and poor prediction of the test data (see the open circle symbol from an air-blow testing data was totally misclassified).