Laminar phase coupling data for: Spike-phase coupling patterns reveal laminar identity in primate cortex

The cortical column is one of the fundamental computational circuits in the brain. In order to understand the role neurons in different layers of this circuit play in cortical function it is necessary to identify the boundaries that separate the laminar compartments. While histological approaches can reveal ground truth they are not a practical means of identifying cortical layers in vivo. The gold standard for identifying laminar compartments in electrophysiological recordings is current-source density (CSD) analysis. However, laminar CSD analysis requires averaging across reliably evoked responses that target the input layer in cortex, which may be difficult to generate in less well-studied cortical regions. Further, the analysis can be susceptible to noise on individual channels resulting in errors in assigning laminar boundaries. Here, we have analyzed linear array recordings in multiple cortical areas in both the common marmoset and the rhesus macaque. We describe a pattern of lami..., Data was collected from linear electrode arrays recording spiking and local field potential activity from macaque and marmoset monkeys performing behavorial tasks. Electrode voltages were recorded at 30 KHz and downsampled to 1000 Hz and low-pass filtered at 200 Hz. Spike times are time stamps for multiunit spiking activity during the LFP segments. Channel map indicated the linear position of each electrode from the tip., Datafiles are in .mat format and can be opened with MATLAB.