| 109 | |
| 110 | |
| 111 | def BRIAN2GENN(n_neurons, time): |
| 112 | t0 = t() |
| 113 | |
| 114 | set_device("genn", build_on_run=False) |
| 115 | defaultclock = 1.0 * ms |
| 116 | device.build() |
| 117 | |
| 118 | t1 = t() |
| 119 | |
| 120 | eqs_neurons = """ |
| 121 | dv/dt = (ge * (-60 * mV) + (-74 * mV) - v) / (10 * ms) : volt |
| 122 | dge/dt = -ge / (5 * ms) : 1 |
| 123 | """ |
| 124 | |
| 125 | input = PoissonGroup(n_neurons, rates=15 * Hz) |
| 126 | neurons = NeuronGroup( |
| 127 | n_neurons, |
| 128 | eqs_neurons, |
| 129 | threshold="v > (-54 * mV)", |
| 130 | reset="v = -60 * mV", |
| 131 | method="exact", |
| 132 | ) |
| 133 | S = Synapses(input, neurons, """w: 1""") |
| 134 | S.connect() |
| 135 | S.w = "rand() * 0.01" |
| 136 | |
| 137 | run(time * ms) |
| 138 | |
| 139 | device.reinit() |
| 140 | device.activate() |
| 141 | |
| 142 | return t() - t0, t() - t1 |
| 143 | |
| 144 | |
| 145 | def PyNEST(n_neurons, time): |