'singleDataRoot':
None,
'noise_sigmas': [0, 150, 300],
'even_shape':
None,
'output_dir':
'panels',
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(
noisefigs.plotters.Generic2DPBumpPlotter,
config={
'Generic2DPBumpPlotter': {
'fname': "bumps_pbumps_Iext_e_theta_vs_Iext_e_const_{ns}.pdf",
'normalize_ticks': (False, False), # (Y, X)
'normalize_type': (None, None),
'xlabel': 'Constant amplitude\n(pA)',
'ylabel': '$\\theta$ amplitude (pA)',
'bbox': (.15, .2, .85, .9),
'yticks': [1, 0, 0],
'cbar': [0, 0, 1],
},
})
env.plot()
if args.pbumps_Iext_e_vs_uni_GABA or args.all:
new_config = deepcopy(config.get_config())
new_config.update({
'grids_data_root':
None,
'bump_data_root': ('simulation_data/i_surround/'
'Iext_e_const_vs_uni_GABA/gamma_bump'),
if args.bumps_g_II or args.all:
new_config = deepcopy(config.get_config())
new_config.update({
'grids_data_root': None,
'bump_data_root': os.path.join('simulation_data',
'ii_connections',
'g_II_total_sweep',
'gamma_bump'),
'vel_data_root': None,
'const_pos_data_root': None,
'singleDataRoot': None,
'noise_sigmas': [150],
'even_shape': None,
})
env = NoiseEnvironment(user_config=new_config, space_cls=JobTrialSpace1D)
env.register_class(
noisefigs.plotters.Generic1DPBumpPlotter,
config={
'Generic1DPBumpPlotter' : {
'fname' : 'bumps_Pbumps_g_II_{ns}.pdf',
'normalize_ticks': False,
'xlim': (-10, 410),
'ylim': (-0.05, 1.05),
},
}
)
env.plot()
env.register_class(
noisefigs.plotters.Generic2DPBumpPlotter,
config={
'Generic2DPBumpPlotter': {
'fname':
"bumps_Pbumps_gEE_pEE_sigma_{ns}.pdf",
'normalize_ticks': (True, False), # (Y, X)
'normalize_type': ('E', None),
'xlabel':
'$\sigma_{E{\\rightarrow}E}$',
'ylabel':
'$g_{E{\\rightarrow}E}$',
'bbox': (.2, .17, .85, .9),
'cbar': [0, 0, 1],
'ann': [
None,
[
dict(txt='',
rc=(20, 5),
xytext_offset=(0.03, 1.5),
color='black')
],
None,
],
'vmin':
0,
'vmax':
0.959,
'cbar_kw':
dict(ticks=ti.MultipleLocator(0.2), ),
},
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(
noisefigs.plotters.GenericGammaPlotter,
config={
'GenericGammaPlotter': {
'what':
'acVal',
'fname':
"gamma_power_Iext_e_theta_vs_Iext_e_const_{ns}.pdf",
'normalize_ticks': (False, False), # (Y, X)
'normalize_type': (None, None),
'xlabel':
'',
'ylabel':
'$\\theta$ amplitude (pA)',
'xticks': [0, 0, 0],
'bbox': (.15, .2, .85, .9),
'cbar_kw':
dict(label='$1^{st}$ autocorrelation\npeak',
location='right',
shrink=0.8,
pad=.05,
ticks=ti.MultipleLocator(0.1),
rasterized=True),
'vmin':
0,
'vmax':
0.43,
},
})
env.register_class(
'const_pos_data_root': None,
'singleDataRoot': None,
'noise_sigmas': [0, 150, 300],
'even_shape': None,
'output_dir': 'panels',
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(
noisefigs.plotters.Generic2DPBumpPlotter,
config={
'Generic2DPBumpPlotter': {
'fname': "bumps_pbumps_Iext_e_theta_vs_Iext_e_const_{ns}.pdf",
'normalize_ticks': (False, False), # (Y, X)
'normalize_type': (None, None),
'xlabel': 'Constant amplitude\n(pA)',
'ylabel': '$\\theta$ amplitude (pA)',
'bbox': (.15, .2, .85, .9),
'yticks': [1, 0, 0],
'cbar': [0, 0, 1],
},
})
env.plot()
if args.pbumps_Iext_e_vs_uni_GABA or args.all:
new_config = deepcopy(config.get_config())
new_config.update({
'grids_data_root': None,
'bump_data_root': ('simulation_data/i_surround/'
'ee_connections_ei_flat',
'standard_sweep_g_EE_3060_pEE_sigma_0_0833',
'gamma_bump', '0pA')
sp_0 = JobTrialSpace2D(shape, output_dir_0)
new_config = deepcopy(config.get_config())
env = MplEnvironment(config=new_config)
env.register_class(
noisefigs.plotters.PopulationActivityPlotter,
config={
'data_root' : output_dir_0,
'data_file_name': sp_0[1][22].file_name_base,
'output_dir' : 'panels_standard_gEE_3060',
'PopulationActivityPlotter': {
'fname_prefix': '0pA_r1_c22_',
'raster_rect': (.075, 0.35, 0.93, 0.97),
'fig_saver': SeparateMultipageSaver(None, 'pdf'),
'fig_size': (8, 6),
't_limits': (0, 5e3),
'snapshot_tstep': 4,
'e_snapshots_rect': (.075, .15, 0.93, 0.25),
'i_snapshots_rect': (.075, .02, 0.93, 0.12),
},
})
env.plot()
output_dir = join('simulation_data',
'ee_connections_ei_flat',
'standard_sweep_g_EE_3060_pEE_sigma_0_0833',
"const_pos_data_root": None,
"singleDataRoot": None,
"noise_sigmas": [0, 150, 300],
"even_shape": None,
}
)
env = NoiseEnvironment(user_config=new_config)
env.register_class(
noisefigs.plotters.Generic2DPBumpPlotter,
config={
"Generic2DPBumpPlotter": {
"fname": "bumps_Pbumps_gEE_pEE_sigma_{ns}.pdf",
"normalize_ticks": (True, False), # (Y, X)
"normalize_type": ("E", None),
"xlabel": "$\sigma_{E{\\rightarrow}E}$",
"ylabel": "$g_{E{\\rightarrow}E}$",
"bbox": (0.2, 0.17, 0.85, 0.9),
"cbar": [0, 0, 1],
"ann": [None, [dict(txt="", rc=(20, 5), xytext_offset=(0.03, 1.5), color="black")], None],
"vmin": 0,
"vmax": 0.959,
"cbar_kw": dict(ticks=ti.MultipleLocator(0.2)),
}
},
)
env.plot()
if args.rasters_gEE_EE_sigma or args.all:
shape = (31, 11)
output_dir = join("simulation_data", "ee_connections_ei_flat", "g_EE_total_vs_pEE_sigma", "gamma_bump", "150pA")
sp = JobTrialSpace2D(shape, output_dir)
env.register_class(
noisefigs.plotters.GenericGammaPlotter,
config={
'GenericGammaPlotter': {
'scale_factor':
.7,
'what':
'acVal',
'fname':
"gamma_sweeps{ns}.pdf",
'normalize_ticks': (True, True), # (Y, X)
'normalize_type': ('E', 'I'),
'xlabel':
'',
'xticks': [False, False, False],
'ylabel':
None,
'yticks': [True, False, False],
'bbox': (.2, .17, .85, .87),
'vmin':
.0,
'vmax':
.505,
'cbar': [0, 0, 1],
'cbar_kw':
dict(ticks=ti.MultipleLocator(0.1), ),
'plot_grid_contours': [0, 0, 0],
'ann': [
dict(
txt='b',
rc=(5, 15),
xytext_offset=(.1, 0),
color='white',
),
dict(
txt='a',
rc=(15, 5),
xytext_offset=(-.05, 20.),
color='white',
),
],
},
})
'output_dir': 'panels',
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(
noisefigs.plotters.GenericGammaPlotter,
config={
'GenericGammaPlotter': {
'what': 'acVal',
'fname': "gamma_power_Iext_e_theta_vs_Iext_e_const_{ns}.pdf",
'normalize_ticks': (False, False), # (Y, X)
'normalize_type': (None, None),
'xlabel': '',
'ylabel': '$\\theta$ amplitude (pA)',
'xticks': [0, 0, 0],
'bbox': (.15, .2, .85, .9),
'cbar_kw': dict(
label = '$1^{st}$ autocorrelation\npeak',
location = 'right',
shrink = 0.8,
pad = .05,
ticks = ti.MultipleLocator(0.1),
rasterized = True
),
'vmin': 0,
'vmax': 0.43,
},
})
env.register_class(
noisefigs.plotters.GenericGammaPlotter,
config={
env.register_class(
noisefigs.plotters.GenericGammaPlotter,
config={
'GenericGammaPlotter': {
'scale_factor': .7,
'what': 'acVal',
'fname': "gamma_sweeps{ns}.pdf",
'normalize_ticks': (True, True), # (Y, X)
'normalize_type': ('E', 'I'),
'xlabel': '',
'xticks': [False, False, False],
'ylabel': None,
'yticks': [True, False, False],
'bbox': (.2, .17, .85, .87),
'vmin': .0,
'vmax': .505,
'cbar': [0, 0, 1],
'cbar_kw': dict(
ticks = ti.MultipleLocator(0.1),
),
'plot_grid_contours': [0, 0, 0],
'ann': [
dict(
txt='b',
rc=(5, 15),
xytext_offset=(.1, 0),
color='white',
),
dict(
txt='a',
rc=(15, 5),
xytext_offset=(-.05, 20.),
color='white',
),
],
},
})
'const_pos_data_root':
None,
'singleDataRoot':
None,
'noise_sigmas': [150],
'even_shape':
None,
'output_dir':
'panels',
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(noisefigs.plotters.GridSweepsPlotter,
config={
'GridSweepsPlotter': {
'fname_prefix': "pastoll_pc_weight_3_",
'vmin': -0.4286,
'vmax': 0.8582,
'ann': None,
},
})
env.plot()
if args.grids_pastoll_pc_weight or args.all:
new_config = deepcopy(config.get_config())
new_config.update({
'bump_data_root':
None,
'grids_data_root':
os.path.join('simulation_data', 'i_surround',
'pastoll_et_al_pc_max_rate_vs_weight', 'grids'),
'vel_data_root':
'bump_data_root': ('simulation_data/g_EE_total_vs_pEE_sigma/'
'gamma_bump'),
'vel_data_root': None,
'const_pos_data_root': None,
'singleDataRoot': None,
'noise_sigmas': [150],
'even_shape': None,
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(
noisefigs.plotters.Generic2DPBumpPlotter,
config={
'Generic2DPBumpPlotter': {
'fname': "bumps_Pbumps_gEE_pEE_sigma_{ns}.pdf",
'normalize_ticks': (True, False), # (Y, X)
'normalize_type': ('E', None),
'xlabel': '$\sigma_{E{\\rightarrow}E}$',
'ylabel': '$g_{E{\\rightarrow}E}$',
'bbox': (.2, .17, .85, .9),
},
})
env.plot()
if args.pbumps_gAMPA_AMPA_sigma or args.all:
new_config = deepcopy(config.get_config())
new_config.update({
'grids_data_root': None,
'bump_data_root': 'simulation_data/g_AMPA_total_vs_pAMPA_sigma/',
'vel_data_root': None,
'const_pos_data_root': None,
'singleDataRoot': None,
from noisefigs.env import NoiseEnvironment
import config
parser = flagparse.FlagParser()
parser.add_flag('--pbumps')
parser.add_flag('--pbumps_narrow_sigma')
args = parser.parse_args()
env = NoiseEnvironment(user_config=config.get_config())
if args.pbumps or args.all:
env.register_plotter(noisefigs.plotters.GEProfileWidthBumpPlotter)
if args.pbumps_narrow_sigma or args.all:
new_config = deepcopy(config.get_config())
new_config['bump_data_root'] = ('simulation_data/pAMPA_sigma/'
'sigma_sweep_narrow_range')
narrow_env = NoiseEnvironment(user_config=new_config)
narrow_env.register_class(
noisefigs.plotters.GEProfileWidthBumpPlotter,
config={
'GEProfileWidthBumpPlotter': {
'fname': "bumps_Pbumps_gE_pAMPA_sigma_narrow{ns}.pdf"
},
})
env.plot()
narrow_env.plot()
None,
'const_pos_data_root':
None,
'singleDataRoot':
None,
'noise_sigmas': [150],
'even_shape':
None,
})
env = NoiseEnvironment(user_config=new_config, space_cls=JobTrialSpace1D)
env.register_class(noisefigs.plotters.Generic1DGammaPlotter,
config={
'Generic1DGammaPlotter': {
'what': 'acVal',
'fname': 'gamma_power_g_II_{ns}.pdf',
'normalize_ticks': False,
'ylabel': '$1^{st}$ autocorrelation peak',
'xlim': (-10, 410),
'ylim': (-0.04, 0.58),
},
})
env.register_class(noisefigs.plotters.Generic1DGammaPlotter,
config={
'Generic1DGammaPlotter': {
'what': 'freq',
'fname': 'gamma_freq_g_II_{ns}.pdf',
'normalize_ticks': False,
'ylabel': 'Frequency (Hz)',
'xlim': (-10, 410),
'ylim': (22, 175),
},
output_dir_0 = join('simulation_data', 'ee_connections_ei_flat',
'standard_sweep_g_EE_3060_pEE_sigma_0_0833',
'gamma_bump', '0pA')
sp_0 = JobTrialSpace2D(shape, output_dir_0)
new_config = deepcopy(config.get_config())
env = MplEnvironment(config=new_config)
env.register_class(noisefigs.plotters.PopulationActivityPlotter,
config={
'data_root': output_dir_0,
'data_file_name': sp_0[1][22].file_name_base,
'output_dir': 'panels_standard_gEE_3060',
'PopulationActivityPlotter': {
'fname_prefix': '0pA_r1_c22_',
'raster_rect': (.075, 0.35, 0.93, 0.97),
'fig_saver':
SeparateMultipageSaver(None, 'pdf'),
'fig_size': (8, 6),
't_limits': (0, 5e3),
'snapshot_tstep': 4,
'e_snapshots_rect': (.075, .15, 0.93, 0.25),
'i_snapshots_rect': (.075, .02, 0.93, 0.12),
},
})
env.plot()
output_dir = join('simulation_data', 'ee_connections_ei_flat',
'standard_sweep_g_EE_3060_pEE_sigma_0_0833',
'gamma_bump', '150pA')
sp = JobTrialSpace2D(shape, output_dir)
new_config = deepcopy(config.get_config())
'const_pos_data_root': None,
'singleDataRoot': None,
'noise_sigmas': [150],
'even_shape': None,
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(
noisefigs.plotters.GenericGammaPlotter,
config={
'GenericGammaPlotter': {
'what': 'acVal',
'fname': "gamma_power_gEE_pEE_sigma_{ns}.pdf",
'normalize_ticks': (True, False), # (Y, X)
'normalize_type': ('E', None),
'xlabel': '$\sigma_{E{\\rightarrow}E}$',
'ylabel': '$g_{E{\\rightarrow}E}$',
'bbox': (.2, .17, .85, .9),
'vmin': .0,
'vmax': .505,
'cbar_kw': dict(
ticks = ti.MultipleLocator(0.1),
)
},
})
env.register_class(
noisefigs.plotters.GenericGammaPlotter,
config={
'GenericGammaPlotter': {
'what': 'freq',
'fname': "gamma_freq_gEE_pEE_sigma_{ns}.pdf",
'normalize_ticks': (True, False), # (Y, X)
'pastoll_et_al',
'grids_pc_weight_3'),
'vel_data_root': None,
'const_pos_data_root': None,
'singleDataRoot': None,
'noise_sigmas': [150],
'even_shape': None,
'output_dir': 'panels',
})
env = NoiseEnvironment(user_config=new_config)
env.register_class(noisefigs.plotters.GridSweepsPlotter,
config={
'GridSweepsPlotter': {
'fname_prefix': "pastoll_pc_weight_3_",
'vmin': -0.4286,
'vmax': 0.8582,
'ann': None,
},
})
env.plot()
if args.grids_pastoll_pc_weight or args.all:
new_config = deepcopy(config.get_config())
new_config.update({
'bump_data_root': None,
'grids_data_root': os.path.join('simulation_data',
'i_surround',
'pastoll_et_al_pc_max_rate_vs_weight',
'grids'),
'gamma_bump'),
'vel_data_root': None,
'const_pos_data_root': None,
'singleDataRoot': None,
'noise_sigmas': [150],
'even_shape': None,
})
env = NoiseEnvironment(user_config=new_config, space_cls=JobTrialSpace1D)
env.register_class(
noisefigs.plotters.Generic1DGammaPlotter,
config={
'Generic1DGammaPlotter' : {
'what': 'acVal',
'fname' : 'gamma_power_g_II_{ns}.pdf',
'normalize_ticks': False,
'ylabel': '$1^{st}$ autocorrelation peak',
'xlim': (-10, 410),
'ylim': (-0.04, 0.58),
},
}
)
env.register_class(
noisefigs.plotters.Generic1DGammaPlotter,
config={
'Generic1DGammaPlotter' : {
'what': 'freq',
'fname' : 'gamma_freq_g_II_{ns}.pdf',
'normalize_ticks': False,
'ylabel': 'Frequency (Hz)',
'xlim': (-10, 410),
