Accurate Estimation of Neural Population Dynamics without Spike Sorting - ScienceDirect

• For population analyses, spike sorting has a minor impact on estimates of neural state • Multiunit activity creates a random projection of the low-dimensional neural state • Results from three prior studies in macaque PMd/M1 are replicated without spike sorting • Neuropixels probes provided high-quality unit isolation to validate findings For population analyses, spike sorting has a minor impact on estimates of neural state Multiunit activity creates a random projection of the low-dimensional neural state Results from three prior studies in macaque PMd/M1 are replicated without spike sorting Neuropixels probes provided high-quality unit isolation to validate findings A central goal of systems neuroscience is to relate an organism’s neural activity to behavior. Neural population analyses often reduce the data dimensionality to focus on relevant activity patterns. A major hurdle to data analysis is spike sorting, and this problem is growing as the number of recorded neurons incr

• For population analyses, spike sorting has a minor impact on estimates of neural state • Multiunit activity creates a random projection of the low-dimensional neural state • Results from three prior studies in macaque PMd/M1 are replicated without spike sorting • Neuropixels probes provided high-quality unit isolation to validate findings For population analyses, spike sorting has a minor impact on estimates of neural state Multiunit activity creates a random projection of the low-dimensional neural state Results from three prior studies in macaque PMd/M1 are replicated without spike sorting