From b2704be562145aec453e5fe04e1d7bbd49a742de Mon Sep 17 00:00:00 2001 From: Carmen Date: Thu, 24 Sep 2020 13:43:18 -0400 Subject: [PATCH] undid plot_simulate chnages --- examples/plot_simulate_evoked.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/examples/plot_simulate_evoked.py b/examples/plot_simulate_evoked.py index 87c7e0435..2f801eece 100644 --- a/examples/plot_simulate_evoked.py +++ b/examples/plot_simulate_evoked.py @@ -27,19 +27,18 @@ # Then we read the parameters file params_fname = op.join(hnn_core_root, 'param', 'default.json') params = read_params(params_fname) -params['tstop']=10 -#print(params) +print(params) ############################################################################### # This is a lot of parameters! We can also filter the # parameters using unix-style wildcard characters -#print(params['L2Pyr_soma*']) +print(params['L2Pyr_soma*']) ############################################################################### # Let us first create our network from the params file and visualize the cells # inside it. net = Network(params) -#net.plot_cells() +net.plot_cells() ############################################################################### # Now let's simulate the dipole, running 2 trials with the Joblib backend. @@ -48,7 +47,7 @@ with JoblibBackend(n_jobs=1): dpls = simulate_dipole(net, n_trials=1,postproc=True) -sdfd + ############################################################################### # and then plot it import matplotlib.pyplot as plt