Searched refs:N_rec (Results 1 – 4 of 4) sorted by relevance
/dports/science/nest/nest-simulator-3.1/pynest/examples/ |
H A D | brunel_delta_nest.py | 84 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
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H A D | brunel_exp_multisynapse_nest.py | 95 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
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H A D | brunel_alpha_nest.py | 123 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
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H A D | brunel_alpha_evolution_strategies.py | 99 def compute_rate(spikes, N_rec, sim_time): argument 101 return (1. * len(spikes['times']) / N_rec / sim_time * 1e3)
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