Fig. 3.

The relation between ${\sigma }_{\mathit{AMPA}}$ and the spike count (spike number in 400 ms) of excitatory and inhibitory neurons in the three layers. In this simulation, the value of ${\sigma }_{\mathit{NMDA}}$ was set zero (there was no noise in NMDA receptors). To simulate results in one layer, the value of ${\sigma }_{\mathit{AMPA}}$ changed from 0 to 0.1 in that layer, but was kept a constant value in the other two layers (${\sigma }_{\mathit{AMPA}}$ = 0.08). a–c The function of the mean spike count against ${\sigma }_{\mathit{AMPA}}$ for excitatory neurons in layer 1 (a), layer 2 (b) and layer 3 (c), respectively. d–f The function of the mean spike count against ${\sigma }_{\mathit{AMPA}}$ for inhibitory neurons in layer 1 (d), layer 2 (e) and layer 3 (f), respectively. The red curves indicate the excitatory neurons and the blue curves represent the inhibitory neurons. Error bars indicate s.e.m. The values of s.e.m. are very small in the figures