Figure 4 | Scientific Reports

Figure 4

From: Dynamic input-dependent encoding of individual basal ganglia neurons

Figure 4

GLM parameters as a function of the firing rate. The dependence of GLM parameters of GP (red), EP (blue) and SNr (green) neurons on the firing rate. In all cases, except C, the solid lines represent the linear regression functions. (A) Post spike filter inhibition, expressed as the time when the filter reaches its half height, as a function of the firing rate (GP: R2 = 0.4, p < 0.001, EP: R2 = 0.65, p < 0.001, SNr: R2 = 0.14, p < 0.01). (B) Stimulus filter total coincidence detection window as function of the firing rate (GP: R2 = 0.17, p < 0.001, EP: R2 = 0.32, p < 0.001, SNr: R2 = 0.15, p < 0.01). (C) Stimulus filter effective coincidence detection window as function of the firing rate. Solid lines represent the exponential fitting function (GP: R2 = 0.19, p < 0.001, EP: R2 = 0.43, p < 0.001, SNr: R2 = 0.28, p < 0.001). (D) Stimulus filter characteristic frequency computed from the Fourier transform of the filter, as function of the firing rate (GP: R2 = 0.23, p < 0.001, EP: R2 = 0.49, p < 0.001, SNr: R2 = 0.13, p < 0.01). (E) Time-frequency representation of the GLMs of SNr neurons. The representation is derived from a Morlet wavelet transform of the mean stimulus filters of sessions with a similar firing rate (±2 Hz).

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