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. 2022 Mar 9;42(10):1999–2010. doi: 10.1523/JNEUROSCI.1350-21.2021

Table 1.

Best fitting parameters of exponential decay models fitted to adaptation ratios (drifting gratings)

Region of interest afast τfast aslow τslow
V1 13.99 [10.73, 16.14] 0.85 [0.59, 1.13] 3.45 [1.71, 6.64] 6.82 [3.39, 13.50]
AL 10.19 [8.14, 12.71] 0.01 [1e-3, 0.47] 6.84 [4.90, 8.54] 4.08 [3.10, 5.94]
AM 9.96 [6.88, 14.30] 0.39 [5e-3, 0.87] 8.03 [3.83, 11.04] 3.39 [2.37, 6.50]
LM 13.35 [10.37, 16.07] 0.46 [0.02, 0.72] 3.71 [1.89, 5.84] 5.52 [3.42, 10.60]
PM 13.20 [10.43, 16.32] 0.02 [2e-3, 0.45] 6.50 [3.91, 9.26] 4.43 [2.75, 9.28]
RL 4.58 [1.97, 12.00] 0.26 [5e-3, 1.83] 7.40 [0.7, 9.82] 3.12 [2.19, 34.41]
LGN 6.51 [4.04, 8.85] 0.02 [4e-3, 0.63]
LP 16.76 [12.68, 21.02] 0.71 [0.03, 0.93]

Amplitude parameters a are expressed in %-response reduction of firing rate to repeat with respect to orthogonal trials. Exponential time constants τ are expressed in units of trials. The decay of adaptation in thalamic areas LGN and LP was significantly better fit by single-exponential decay models. Therefore, no parameters for the second exponential component are provided for these areas. Values in parentheses indicate bootstrapped 95% confidence intervals.