Last active
March 23, 2021 09:10
-
-
Save cjayb/4c4c2a46229f82ce940f0b58ee5e5675 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import os.path as op | |
import tempfile | |
import hnn_core | |
from hnn_core import simulate_dipole, read_params, Network | |
hnn_core_root = op.dirname(hnn_core.__file__) | |
params_fname = op.join(hnn_core_root, 'param', 'default.json') | |
params = read_params(params_fname) | |
net = Network(params) | |
############################################################################### | |
weights_ampa_d1 = {'L2_basket': 0.006562, 'L2_pyramidal': .000007, | |
'L5_pyramidal': 0.142300} | |
weights_nmda_d1 = {'L2_basket': 0.019482, 'L2_pyramidal': 0.004317, | |
'L5_pyramidal': 0.080074} | |
synaptic_delays_d1 = {'L2_basket': 0.1, 'L2_pyramidal': 0.1, | |
'L5_pyramidal': 0.1} | |
net.add_evoked_drive( | |
'evdist1', mu=63.53, sigma=3.85, numspikes=1, weights_ampa=weights_ampa_d1, | |
weights_nmda=weights_nmda_d1, location='distal', | |
synaptic_delays=synaptic_delays_d1, seedcore=4) | |
weights_ampa_p1 = {'L2_basket': 0.08831, 'L2_pyramidal': 0.01525, | |
'L5_basket': 0.19934, 'L5_pyramidal': 0.00865} | |
synaptic_delays_prox = {'L2_basket': 0.1, 'L2_pyramidal': 0.1, | |
'L5_basket': 1., 'L5_pyramidal': 1.} | |
net.add_evoked_drive( | |
'evprox1', mu=26.61, sigma=2.47, numspikes=1, weights_ampa=weights_ampa_p1, | |
weights_nmda=None, location='proximal', | |
synaptic_delays=synaptic_delays_prox, seedcore=4) | |
weights_ampa_p2 = {'L2_basket': 0.000003, 'L2_pyramidal': 1.438840, | |
'L5_basket': 0.008958, 'L5_pyramidal': 0.684013} | |
net.add_evoked_drive( | |
'evprox2', mu=137.12, sigma=8.33, numspikes=1, | |
weights_ampa=weights_ampa_p2, location='proximal', | |
synaptic_delays=synaptic_delays_prox, seedcore=4) | |
############################################################################### | |
from hnn_core import MPIBackend | |
for ii in range(20): | |
print(10 * '>' + f' Starting iteration {ii + 1}... ' + 10 * '<') | |
with MPIBackend(n_procs=8, mpi_cmd='mpiexec'): | |
dpls = simulate_dipole(net, n_trials=1, postproc=False) | |
print(10 * '>' + f' ... ended iteration {ii + 1}.' + 10 * '<') |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment