Resolution:
## Figure 9.
Learning-associated desynchronization in model excitatory neurones and IT. Graphs show (A) Significantly greater desynchronization of the 100 excitatory neurons
in the model as a function of stimulus strength (Iapp) after learning (black) compared
with during it (grey) (using an overall mean for all Iapp values t^{18 }= -5.30, p < 0.0001). Data are mean ± sem from 10 runs. (B) Negative correlation between
synchronization and the theta/gamma ratio in MUA recordings from IT (r = -0.32, p
< 0.001), (C) Negative correlation between excitatory neuron synchronization and size
of the theta/gamma ratio, r = -0.42, p < 0.001, (D) Negative correlation between synchronization
index and firing rate of the downstream neuron r = -0.60, p < 0.001, (E) Firing frequency
distribution and theta waves generated by the model's 100 excitatory neurons in 5
ms bins for 1s after stimulus onset during learning and (F) after learning (Iapp =
0.8). After learning more time bins during theta waves have active neurons compared
with before learning as a result of greater desynchronization. NMDA, AMPA and GABA
_{A }receptor coefficients as in Figure 8.
Kendrick |