ReducedWongWangExcInh
Description
Reduced WongWang Exc-Inh (RWW_EI) is a biologically-inspired two-dimensional (i.e., two state-variables ('S_E','S_I')) neural mass model describing the dynamics of a cortical area consisting of local networks of excitatory (AMPA) and inhibitory (GABA-A) populations of spiking neurons interconnected via NMDA synapses. These neurons are organized into an inhibitory population accounting for 20% of the neurons and an excitatory population accounting for 80% of the neurons.
Parameters
| Name | Value | Unit |
|---|---|---|
| G | 2.0 | |
| I_ext | ||
| I_o | 0.382 | tvbo.unit_enum(14,) |
| J_N | 0.15 | |
| J_i | 1.0 | |
| W_e | 1.0 | |
| W_i | 0.7 | |
| a_e | 310.0 | tvbo.unit_enum(27,) |
| a_i | 615.0 | tvbo.unit_enum(27,) |
| b_e | 125.0 | tvbo.unit_enum(6,) |
| b_i | 177.0 | tvbo.unit_enum(6,) |
| d_e | 0.16 | tvbo.unit_enum(1,) |
| d_i | 0.087 | tvbo.unit_enum(1,) |
| gamma_e | 0.000641 | |
| gamma_i | 0.001 | |
| lamda | ||
| tau_e | 100.0 | tvbo.unit_enum(2,) |
| tau_i | 10.0 | tvbo.unit_enum(2,) |
| w_p | 1.4 |
State variables
| Name | Initial value |
|---|---|
| S_e | 0.1 |
| S_i | 0.1 |