Table 1. Information breakdown methodology applied to groups of INH vs. best EXC (B-EXC) neurons.
| Term | < 1 Hz (n = 9) | 1 Hz (n = 6) | 2 Hz (n = 6) | 4 Hz (n = 6) | 7 Hz (n = 6) | 10 Hz (n = 6) | |
|---|---|---|---|---|---|---|---|
| Sig-sim | INH | -0.09±0.03 | -0.14±0.06 | -0.22±0.1 | -0.31±0.16 | -0.08±0.05 | -0.03±0.01 |
| B-EXC | -0.23±0.06 | -0.63±0.2 | -0.68±0.18 | -0.39±0.1 | -0.2±0.07 | -0.07±0.04 | |
| P | * <0.05 | * <0.05 | * <0.05 | 0.56 | * <0.05 | * <0.05 | |
| Corr-ind | INH | -0.01±0.01 | -0.01±0.02 | -0.01±0.02 | -0.05±0.02 | -0.02±0.01 | -0.01±0.01 |
| B-EXC | -0.02±0.02 | -0.04±0.02 | -0.02±0.01 | -0.02±0.02 | -0.05±0.02 | -0.07±0.03 | |
| P | 0.10 | 0.06 | 0.56 | 0.31 | 0.31 | 0.09 |
Neural ensemble responses were quantified using spike counts in a post-stimulus window of 50 ms. Two components of the information breakdown were computed and compared: the signal-similarity term (sig-sim) and the stimulus-independent correlational component (corr-ind). Data represent the mean±SEM averaged across experiments (low frequency, n = 9; higher frequencies, n = 6). The number of neurons included in each of the INH and best EXC neuronal groups are as reported in Fig 6B2. The corresponding pairwise noise correlations are shown in Fig 6B3. Significant differences are highlighted in cursive and marked with an asterisk.