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Rossi-Pool, Roman; Romo, Ranulfo (2019)

LOW DIMENSIONALITY, HIGH ROBUSTNESS IN NEURAL POPULATION DYNAMICS

Neuron 103(2):177-179
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Neuronal populations respond within a small number of relevant dimensions. New research by Trautmann et al. (2019) shows that spike sorting is not necessary to extract the important features of this low-dimensional population signal. Combined responses of multiple neurons (multiunit activity) only generate small changes in the extracted signals.