Summary

Human thoughts, sensory perceptions and behaviors are known to emerge not from the activity of individual neurons but from collective patterns of activity distributed across different neuron populations. One way to characterize the collective activity of neurons is to measure its dimensionality, or, in other words, the number of independent activity patterns (i.e., degrees of freedom) exhibited by a specific neuronal population. High-dimensional activity can encompass various distinct activity patterns, while low-dimensional activity is restricted to a smaller range of possible patterns.

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