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Searched refs:N_rec (Results 1 – 4 of 4) sorted by relevance

/dports/science/nest/nest-simulator-3.1/pynest/examples/
H A Dbrunel_delta_nest.py84 N_rec = 50 # record from 50 neurons variable
186 nest.Connect(nodes_ex[:N_rec], espikes, syn_spec="excitatory")
187 nest.Connect(nodes_in[:N_rec], ispikes, syn_spec="excitatory")
245 rate_ex = events_ex / simtime * 1000.0 / N_rec
246 rate_in = events_in / simtime * 1000.0 / N_rec
H A Dbrunel_exp_multisynapse_nest.py95 N_rec = 50 # record from 50 neurons variable
215 nest.Connect(nodes_ex[:N_rec], espikes, syn_spec="excitatory")
216 nest.Connect(nodes_in[:N_rec], ispikes, syn_spec="excitatory")
273 rate_ex = events_ex / simtime * 1000.0 / N_rec
274 rate_in = events_in / simtime * 1000.0 / N_rec
H A Dbrunel_alpha_nest.py123 N_rec = 50 # record from 50 neurons variable
231 nest.Connect(nodes_ex[:N_rec], espikes, syn_spec="excitatory")
232 nest.Connect(nodes_in[:N_rec], ispikes, syn_spec="excitatory")
290 rate_ex = events_ex / simtime * 1000.0 / N_rec
291 rate_in = events_in / simtime * 1000.0 / N_rec
H A Dbrunel_alpha_evolution_strategies.py99 def compute_rate(spikes, N_rec, sim_time): argument
101 return (1. * len(spikes['times']) / N_rec / sim_time * 1e3)