def do_run(seed=None):
# Simulate using both simulators
synfire_run = SynfireRunner()
synfire_run.do_run(
n_neurons=1, input_class=SpikeSourcePoisson, rate=noise_rate,
start_time=0, duration=simtime, seed=seed,
use_spike_connections=False,
cell_params=cell_params, run_times=[simtime], record=True,
record_v=True, randomise_v_init=True, record_input_spikes=True,
weight_to_spike=0.4)
s_pop_voltages = synfire_run.get_output_pop_voltage_numpy()
s_pop_spikes = synfire_run.get_output_pop_spikes_numpy()
noise_spike_times = synfire_run.get_spike_source_spikes_numpy()
return noise_spike_times, s_pop_spikes, s_pop_voltages
spike_checker.synfire_multiple_lines_spike_checker(spikes,
n_neurons,
len(input),
wrap_around=False)
def test_second_none(self):
self.runsafe(self.second_none)
if __name__ == '__main__':
synfire_run.do_run(n_neurons,
neurons_per_core=neurons_per_core,
run_times=run_times,
use_wrap_around_connections=wrap_around,
input_class=input_class,
start_time=start_time,
duration=duration,
rate=rate,
extract_between_runs=extract_between_runs,
set_between_runs=set_between_runs,
record_input_spikes=record_input_spikes)
gsyn = synfire_run.get_output_pop_gsyn_exc_numpy()
v = synfire_run.get_output_pop_voltage_numpy()
input = synfire_run.get_spike_source_spikes_numpy()
hist = numpy.histogram(input[:, 1], bins=[0, 5000, 10000])
print(hist[0][0], hist[0][1])
spikes = synfire_run.get_output_pop_spikes_numpy()
plot_utils.plot_spikes(input, spikes2=spikes)
plot_utils.heat_plot(v)
plot_utils.heat_plot(gsyn)
