Example recordings using one Neuropixels probe, spanning three regions of the basal ganglia (striatum, GPe, and GPi). Each row shows the voltage on one of 384 recording channels. Channels are densely packed (hence the ‘pixels’ part of the name), and nearby channels thus show correlated voltages. The spikes of a given neuron have a distinct spatio-temporal ‘signature.’ For example, the magnified view in the inset reveals one GPe neuron (near the top) that spiked three times and another (near the bottom) that spiked four times.
Fig 3. One example of how SCA ‘parses’ neural activity into components related to distinct computations. During cycling, there exist four distinct sets of neural dimensions. The first captures activity related to holding a posture and not moving. The second captures activity related to preparing to move, before movement starts but after the animal knows what it will do. The third relates to actually moving. The last relates to preparing to stop. These four types of activity are ‘mixed’ at the single-neuron level, but are readily identified by SCA.
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