Table 1 Parameters used in our simulations of the wave propagation layer P.
From: A hybrid biological neural network model for solving problems in cognitive planning
(a) Neuron model parameters (homogeneous setup) | ||
|---|---|---|
| Â | Excitatory | Inhibitory |
RS | FS | |
a | 0.02 | 0.1 |
b | 0.2 | 0.2 |
c | − 65 | − 65 |
d | 8 | 2 |
(b) Neuron model parameters (heterogeneous setup) | ||
|---|---|---|
| Â | Excitatory | Inhibitory |
RS ...CH | LTS ...FS | |
a | 0.02 | \(0.02 + 0.08r_i\) |
b | 0.2 | \(0.25 - 0.05r_i\) |
c | \(-65 + 15 r_e^2\) | − 65 |
d | \(8 - 6 r_e^2\) | 2 |
(c) Synaptic strength parameters | ||
|---|---|---|
\(s_\mathrm {e\rightarrow {}e}^\mathrm {(max)}\) | 50 | Â |
\(s_\mathrm {e\rightarrow {}i}^\mathrm {(max)}\) | 0.5\({s_\mathrm {e\rightarrow {}e}^\mathrm {(max)}}\) | Â |
\(s_\mathrm {i\rightarrow {}e}^\mathrm {(max)}\) | − 9\({s_\mathrm {e\rightarrow {}e}^\mathrm {(max)}}\) |  |
\(d_\mathrm {e}\) | 2 | Â |
