| Parameter |
---|
\(W_{EI}\) (I→E) | \(W_{IE}\) (E→I) |
\(W_{EE}\)
|
\(W_{II}\)
|
\(\sigma_{E}\)
|
\(\sigma_{I} \)
| Figures |
---|
Asynchronous | 10 | 5 | 0.5 | 5 |
\(2/\sqrt{2}\)
|
\(3/\sqrt{2}\)
| Figs. 1, 2, 5(A) and (B) |
Str. Asynch. | 10 | 8 | 9 | 5 |
\(1.5/\sqrt{2}\)
|
\(2.5/\sqrt{2}\)
| Figs. 3, 5(C) and (D) |
% connectivity | 35 % | 20 % | 40 % | 40 % | | | |
- Connectivity details for networks examined in Sect. 2.2. Here \(W_{YX}\) denotes X→Y connections; e.g. \(W_{IE}\) denotes the strength of excitatory connections onto inhibitory neurons. The parameter \(\sigma_{i}\) denotes the strength of background noise in units of (scaled) voltage, and depends only on cell type (E or I). The parameters \(W_{EE}\), \(W_{IE}\), \(\sigma_{E}\) and \(\sigma_{I}\) will vary in Sects. 2.4 and 2.5; see text for details. For reference, \(W_{XY}=1\) is when the presynaptic input is exactly the average population firing rate (filtered by the synapse) in an all-to-tall homogeneous network.