From 721a52c2f1b8bceaf6489c77f3eed1d69147ae23 Mon Sep 17 00:00:00 2001 From: Padraig Gleeson Date: Wed, 17 Oct 2018 17:19:57 +0100 Subject: [PATCH] Adding initial analysis of cells --- .gitignore | 12 ++ NMC/NeuroML2/nmllite/GenerateExamples.py | 78 ++++++++ NMC/NeuroML2/nmllite/README.md | 44 ++++ NMC/NeuroML2/nmllite/Sweep.py | 188 ++++++++++++++++++ ...traces_cADpyr229_L23_PC_c292d67a2e_0_0.png | Bin 0 -> 61784 bytes ..._traces_cNAC187_L23_NBC_9d37c4b1f8_0_0.png | Bin 0 -> 63194 bytes ..._rates_cADpyr229_L23_PC_c292d67a2e_0_0.png | Bin 0 -> 95471 bytes ...g_rates_cNAC187_L23_NBC_9d37c4b1f8_0_0.png | Bin 0 -> 65213 bytes ...eatmap_cADpyr229_L23_PC_c292d67a2e_0_0.png | Bin 0 -> 38559 bytes ...heatmap_cNAC187_L23_NBC_9d37c4b1f8_0_0.png | Bin 0 -> 43198 bytes ...map_dt_cADpyr229_L23_PC_c292d67a2e_0_0.png | Bin 0 -> 30477 bytes ...tmap_dt_cNAC187_L23_NBC_9d37c4b1f8_0_0.png | Bin 0 -> 29781 bytes NMC/NeuroML2/nmllite/info.html | 46 +++++ ...quency_cADpyr229_L23_PC_c292d67a2e_0_0.png | Bin 0 -> 24799 bytes ...equency_cNAC187_L23_NBC_9d37c4b1f8_0_0.png | Bin 0 -> 27122 bytes ...ncy_dt_cADpyr229_L23_PC_c292d67a2e_0_0.png | Bin 0 -> 13228 bytes ...ency_dt_cNAC187_L23_NBC_9d37c4b1f8_0_0.png | Bin 0 -> 13326 bytes 17 files changed, 368 insertions(+) create mode 100644 NMC/NeuroML2/nmllite/GenerateExamples.py create mode 100644 NMC/NeuroML2/nmllite/README.md create mode 100644 NMC/NeuroML2/nmllite/Sweep.py create mode 100644 NMC/NeuroML2/nmllite/dt_traces_cADpyr229_L23_PC_c292d67a2e_0_0.png create mode 100644 NMC/NeuroML2/nmllite/dt_traces_cNAC187_L23_NBC_9d37c4b1f8_0_0.png create mode 100644 NMC/NeuroML2/nmllite/firing_rates_cADpyr229_L23_PC_c292d67a2e_0_0.png create mode 100644 NMC/NeuroML2/nmllite/firing_rates_cNAC187_L23_NBC_9d37c4b1f8_0_0.png create mode 100644 NMC/NeuroML2/nmllite/heatmap_cADpyr229_L23_PC_c292d67a2e_0_0.png create mode 100644 NMC/NeuroML2/nmllite/heatmap_cNAC187_L23_NBC_9d37c4b1f8_0_0.png create mode 100644 NMC/NeuroML2/nmllite/heatmap_dt_cADpyr229_L23_PC_c292d67a2e_0_0.png create mode 100644 NMC/NeuroML2/nmllite/heatmap_dt_cNAC187_L23_NBC_9d37c4b1f8_0_0.png create mode 100644 NMC/NeuroML2/nmllite/info.html create mode 100644 NMC/NeuroML2/nmllite/mean_spike_frequency_cADpyr229_L23_PC_c292d67a2e_0_0.png create mode 100644 NMC/NeuroML2/nmllite/mean_spike_frequency_cNAC187_L23_NBC_9d37c4b1f8_0_0.png create mode 100644 NMC/NeuroML2/nmllite/mean_spike_frequency_dt_cADpyr229_L23_PC_c292d67a2e_0_0.png create mode 100644 NMC/NeuroML2/nmllite/mean_spike_frequency_dt_cNAC187_L23_NBC_9d37c4b1f8_0_0.png diff --git a/.gitignore b/.gitignore index b8e3500..6119a5f 100644 --- a/.gitignore +++ b/.gitignore @@ -37,3 +37,15 @@ ChannelTest/*.log /NMC/NeuroML2/ManyCells.net.png /NMC/Connectome/BBP.net.png /NMC/Connectome/cons_locs_pathways_mc0_Column.tar +/NMC/NeuroML2/nmllite/*.mod +*.gv +*.gv.png +/NMC/NeuroML2/nmllite/IClamp_*.json +/NMC/NeuroML2/nmllite/ParamSweep_* +/NMC/NeuroML2/nmllite/IClamp_*.net.nml +/NMC/NeuroML2/nmllite/*.hoc +/NMC/NeuroML2/nmllite/*.dat +/NMC/NeuroML2/nmllite/LEMS_Sim_IClamp_*.xml +/NMC/NeuroML2/nmllite/Sim_IClamp_*.json +report.*.txt +*_nrn.py diff --git a/NMC/NeuroML2/nmllite/GenerateExamples.py b/NMC/NeuroML2/nmllite/GenerateExamples.py new file mode 100644 index 0000000..f48f6bd --- /dev/null +++ b/NMC/NeuroML2/nmllite/GenerateExamples.py @@ -0,0 +1,78 @@ +from neuromllite import * +from neuromllite.NetworkGenerator import * +from neuromllite.utils import create_new_model +import sys + +sys.path.append("..") + +''' +bAC217_L4_MC_5fa0a62bd0_0_0.cell.nml cADpyr229_L23_PC_c292d67a2e_0_0.cell.nml cADpyr231_L6_TPC_L4_117b9dfb71_0_0.cell.nml cNAC187_L1_HAC_f8c9772d9d_0_0.cell.nml Soma_AllNML2.cell.nml +bNAC219_L1_DAC_a9ae5cbbf5_0_0.cell.nml cADpyr230_L4_SS_1afeb14f17_0_0.cell.nml cADpyr232_L5_TTPC1_0fb1ca4724_0_0.cell.nml cNAC187_L23_NBC_9d37c4b1f8_0_0.cell.nml +cADpyr229_L23_PC_5ecbf9b163_0_0.cell.nml cADpyr231_L6_TPC_L1_44f2206f70_0_0.cell.nml cADpyr232_L5_UTPC_d736225429_0_0.cell.nml cSTUT189_L23_LBC_e6e8f83407_0_0.cell.nml + +''' +colors = {'RS':'0 0 0.8', 'FS':'0.8 0 0', 'LTS':'0 0 0.8', 'IB':'0.8 0 0', 'IBR':'0.8 0 0'} +colors = {'cADpyr229_L23_PC_c292d67a2e_0_0':'0 0 0.8', 'cNAC187_L23_NBC_9d37c4b1f8_0_0':'0.8 0 0'} + +def generate(cell, duration=3000, config='IClamp',parameters = None): + + reference = "%s_%s"%(config, cell) + + cell_id = '%s'%cell + cell_nmll = Cell(id=cell_id, neuroml2_source_file='../%s.cell.nml'%(cell)) + + ################################################################################ + ### Add some inputs + + if 'IClamp' in config: + + if not parameters: + parameters = {} + parameters['stim_amp'] = '350pA' + + input_source = InputSource(id='iclamp_0', + neuroml2_input='PulseGenerator', + parameters={'amplitude':'stim_amp', 'delay':'500ms', 'duration':'2000ms'}) + + + else: + + if not parameters: + parameters = {} + parameters['average_rate'] = '100 Hz' + parameters['number_per_cell'] = '10' + + input_source = InputSource(id='pfs0', + neuroml2_input='PoissonFiringSynapse', + parameters={'average_rate':'average_rate', + 'synapse':syn_exc.id, + 'spike_target':"./%s"%syn_exc.id}) + + sim, net = create_new_model(reference, + duration, + dt=0.025, # ms + temperature=34, # degC + default_region='Cortex', + parameters = parameters, + cell_for_default_population=cell_nmll, + color_for_default_population=colors[cell], + input_for_default_population=input_source) + + return sim, net + + + +if __name__ == "__main__": + + if '-all' in sys.argv: + for cell in colors: + generate(cell, 3000, config="IClamp") + + + else: + + #sim, net = generate('cADpyr229_L23_PC_c292d67a2e_0_0', 3000, config="IClamp") + sim, net = generate('cNAC187_L23_NBC_9d37c4b1f8_0_0', 3000, config="IClamp",parameters={'stim_amp':'30pA'}) + + check_to_generate_or_run(sys.argv, sim) + diff --git a/NMC/NeuroML2/nmllite/README.md b/NMC/NeuroML2/nmllite/README.md new file mode 100644 index 0000000..41367ee --- /dev/null +++ b/NMC/NeuroML2/nmllite/README.md @@ -0,0 +1,44 @@ +### BBP cell summary + + + + + + + + + + + + + + + + + + + diff --git a/NMC/NeuroML2/nmllite/Sweep.py b/NMC/NeuroML2/nmllite/Sweep.py new file mode 100644 index 0000000..b66f20c --- /dev/null +++ b/NMC/NeuroML2/nmllite/Sweep.py @@ -0,0 +1,188 @@ +import sys + +import pprint; pp = pprint.PrettyPrinter(depth=6) + +from neuromllite.sweep.ParameterSweep import ParameterSweep +from neuromllite.sweep.ParameterSweep import NeuroMLliteRunner + + + +from GenerateExamples import colors + +if __name__ == '__main__': + + heatmap_lims=[-110,-20] + + if '-all' in sys.argv: + + print('Generating all plots') + save_fig_dir = './' + html = '
cADpyr229_L23_PC_c292d67a2e_0_0 + ? + + ? + + ? + + ? + + ? + + ? +
cNAC187_L23_NBC_9d37c4b1f8_0_0 + ? + + ? + + ? + + ? + + ? + + ? +
\n' + + fixed = {'dt':0.025, 'duration':3000} + + + vary = {'stim_amp':['%spA'%(i) for i in xrange(-100,1000,50)]} + #vary = {'stim_amp':['%spA'%(i/10.0) for i in xrange(-10,20,5)]} + #vary = {'stim_amp':['-100pA','0pA','100pA','200pA','300pA','400pA']} + + cells = colors.keys() + + for type in cells: + if type!='ec' and type !='ca3': + + run = True + run = False + + if run: + + nmllr = NeuroMLliteRunner('Sim_IClamp_%s.json'%type, + simulator='jNeuroML_NEURON') + ps = ParameterSweep(nmllr, + vary, + fixed, + num_parallel_runs=16, + save_plot_all_to='firing_rates_%s.png'%type, + heatmap_all=True, + save_heatmap_to='heatmap_%s.png'%type, + heatmap_lims=heatmap_lims, + plot_all=True, + show_plot_already=False) + + report = ps.run() + + #ps.plotLines('stim_amp','average_last_1percent',save_figure_to='average_last_1percent_%s.png'%type) + ps.plotLines('stim_amp','mean_spike_frequency',save_figure_to='mean_spike_frequency_%s.png'%type) + + height = '160' + html+='\n' + html+=' \n' + html+=' \n' + html+=' \n' + html+=' \n' + html+=' \n' + html+=' \n' + html+=' \n' + html+='\n' + + import matplotlib.pyplot as plt + if not '-nogui' in sys.argv: + print("Showing plots") + plt.show() + + + with open(save_fig_dir+'info.html','w') as f: + f.write('\n%s\n'%html) + with open(save_fig_dir+'README.md','w') as f2: + f2.write('### BBP cell summary \n%s'%(html.replace('.html','.md'))) + + elif '-dt' in sys.argv: + + + optimal_stim = {'cADpyr229_L23_PC_c292d67a2e_0_0':'500', + 'cNAC187_L23_NBC_9d37c4b1f8_0_0':'30'} + + vary = {'dt':[0.1,0.05,0.025,0.01,0.005,0.0025,0.001,0.0005,0.00025,0.0001]} + vary = {'dt':[0.1,0.05,0.025,0.01,0.005,0.0025,0.001]} + vary = {'dt':[0.05,0.025,0.01,0.005,0.0025]} + #vary = {'dt':[0.05,0.025,0.01,0.005]} + #vary = {'dt':[0.05,0.025,0.01]} + #vary = {'dt':[0.05,0.025,0.01]} + + for type in optimal_stim: + if type!='ec' and type !='ca3': + + run = True + + if run: + + fixed = {'duration':3000, 'stim_amp':'%spA'%optimal_stim[type]} + + nmllr = NeuroMLliteRunner('Sim_IClamp_%s.json'%type, + simulator='jNeuroML_NEURON') + ps = ParameterSweep(nmllr, + vary, + fixed, + num_parallel_runs=16, + save_plot_all_to='dt_traces_%s.png'%type, + heatmap_all=True, + save_heatmap_to='heatmap_dt_%s.png'%type, + heatmap_lims=heatmap_lims, + plot_all=True, + show_plot_already=False) + + report = ps.run() + + #ps.plotLines('stim_amp','average_last_1percent',save_figure_to='average_last_1percent_%s.png'%type) + ps.plotLines('dt','mean_spike_frequency',save_figure_to='mean_spike_frequency_dt_%s.png'%type, logx=True) + + + + import matplotlib.pyplot as plt + if not '-nogui' in sys.argv: + print("Showing plots") + plt.show() + + + else: + + fixed = {'dt':0.025, 'duration':3000} + + quick = False + #quick=True + + vary = {'stim_amp':['%spA'%(i/10.0) for i in xrange(-10,20,2)]} + vary = {'dt':[0.1,0.05,0.025,0.01,0.005,0.0025,0.001,0.0005,0.00025,0.0001]} + vary = {'dt':[0.1,0.05,0.025,0.01,0.005,0.0025,0.001]} + vary = {'dt':[0.1,0.05,0.025,0.01,0.005]} + + #vary = {'number_per_cell':[i for i in xrange(0,250,10)]} + #vary = {'stim_amp':['1pA','1.5pA','2pA']} + vary = {'stim_amp':['%spA'%(i) for i in xrange(-100,1000,50)]} + + type = 'RS' + type = 'cADpyr229_L23_PC_c292d67a2e_0_0' + type = 'cNAC187_L23_NBC_9d37c4b1f8_0_0' + #type='poolosyn' + config = 'IClamp' + #config = 'PoissonFiringSynapse' + + nmllr = NeuroMLliteRunner('Sim_%s_%s.json'%(config,type), + simulator='jNeuroML_NEURON') + + if quick: + pass + + ps = ParameterSweep(nmllr, vary, fixed, + num_parallel_runs=16, + plot_all=True, + save_plot_all_to='firing_rates_%s.png'%type, + heatmap_all=True, + save_heatmap_to='heatmap_%s.png'%type, + heatmap_lims=heatmap_lims, + show_plot_already=False) + + report = ps.run() + ps.print_report() + + #ps.plotLines('stim_amp','average_last_1percent',save_figure_to='average_last_1percent_%s.png'%type) + ps.plotLines('stim_amp','mean_spike_frequency',save_figure_to='mean_spike_frequency_%s.png'%type) + 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