The animals were further implanted with a head stage to record extracellular potentials in the area identified as vM1 cortex based on mapping studies (see Figure S1, available online). These signals were subsequently sorted into single units, as verified through the consistency of the extracellular spike waveform and the presence of relative and absolute refractory periods in the spike train (Figures 1A–1D). In addition, we required the recording of at least 100 whisks for each unit to be accepted for further analysis. Given these constraints, our results are based on 95 single units across 11 rats. In ancillary studies with a lesion to the infraorbital branch

of the trigeminal nerve (IoN), an additional 74 single units across seven this website animals were obtained. Rhythmic exploratory whisking behavior consists of extended bouts of contiguous whisk cycles (Carvell and Simons, 1995). Qualitatively, the range of motion and the average position of the vibrissae tend to be similar for adjacent whisk cycles, consistent with past reports (Berg and Kleinfeld, 2003a and Hill et al., 2008), and thus vary on a

timescale that is much slower than that of the 0.1 s whisk cycle (Figure 1C). In addition, the large vibrissae tend to move in unison during exploratory whisking (O’Connor et al., 2010a and Welker, 1964), implying that a single set of control signals is sufficient to uniformly drive the vibrissae. We examined the latter issue in detail Dorsomorphin by tracking the motion among sets of vibrissae that spanned rows and arcs (Figure 1E). For the example of four vibrissae that span two rows and five arcs, we find a high degree of linear correlation between all vibrissae, TCL as quantified by the first mode of the singular value decomposition which accounts for 0.95 of the variability in the motion across all vibrissae (cf. colored and gray traces in Figure 1F) ((4) and (5)). In general, we observe that correlations in the motion about the mean position exceeded 0.90 for vibrissae within or across rows (Figure S2). A minimal analysis

is to test if both the slow and fast timescales of the vibrissa trajectory are coded linearly. We thus calculated the transfer function, H˜(f) (Equation 6), as a function of frequency, f, between unit spike trains and vibrissa position using epochs that contained whisking and nonwhisking behavior. The transfer function defines the linear relationship between the position of the vibrissae and a measured spike train. In practice, relatively few units tracked the angle of the vibrissae on a cycle-by-cycle basis. A particularly illustrative example of such data is shown in Figure 2A, together with the predicted whisking trajectory that was calculated by convolving the measured spike train with the transfer function (Figures 2A and 2B). The predicted trajectory captures the phase of the motion rather well, but fails to capture the envelope of the motion.