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For simplicity, we set the activity through the threshold linear gain function, (f textbf{u}) = f_{mathrm{pk}} [[u_{1}]_,ldots,[u_{N}]_] ^{mathsf{T}}), where ([cdot]_ = max cdot,0)), and (f_{mathrm{pk}}= 15mbox{ Hz}) is the peak firing rate of the activity bump.
This distribution indicates no systematic relationship between stimuli and peak firing rate.
It was noted that the offset peak firing rate was slightly higher during the 30 cm free fall event (30.9±6.6 Hz; mean ± s.d).
We also find that while the compounds under study had different effects on plasticity, none of them grossly perturbed visual responses in V1 neurons (e.g., OSI45, peak firing rate; Fig. 4).
We tested the first prediction by identifying the texture that evoked the peak firing rate for all 147 neurons that discriminated between a single texture pair in the two platform task.
A recent study proposed that the simple state vector can be extracted from the varying STPs when firing activity patterns were averaged over many trials [18], where the neural trajectory can be obtained by sorting with the latency of the peak firing rate.
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However, there were no significant differences in the offset peak firing rates across different durations of the shake events (P>0.05; one-way ANOVA).
In contrast, TRA led to slightly (but not significantly, p = 0.09) reduced NDE peak firing rates relative to VEH, and reduced NDE OSI45 (p<0.05 vs. VEH).
However, relative to VEH, ZAL further decreased DE peak firing rates (p<0.05), while TRA impaired DE response depression (p<0.000001 vs. VEH, K-S test).
As shown in Fig. S3E, no significant effects of either treatment were found on peak firing rates, spontaneous firing rates, orientation selectivity, or visual responsiveness for this set of neurons.
However, relative to VEH, ZAL further increased NDE peak firing rates (p<0.0005 vs. VEH, K-S test), and ZAL and ESZ both further enhanced NDE OSI45 (p<0.05 and p<0.000001 vs. VEH, respectively).
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