Example 8. Hodgkin-Huxley ‘52 neuron simulation

Hodgkin-Huxley ‘52 neuron simulation.

A simulation of the HodgkinHuxley52 neuron. We create 3 channels, Lk, Na, and K channels and apply them over the neuron. The morphforge backend takes care of building/compiling .mod-files from these, and runs the simulation. Note that the neurons reseting potentials have been shifted from 0mV to -65mV.

Code

from morphforge.stdimports import *
from morphforgecontrib.stdimports import StdChlLeak
from morphforgecontrib.stdimports import StdChlAlphaBeta


# Create the environment:
env = NEURONEnvironment()

# Create the simulation:
sim = env.Simulation()


# Create a cell:
morphDict1 = {'root': {'length': 20, 'diam': 20, 'id':'soma'} }
m1 = MorphologyTree.fromDictionary(morphDict1)
cell = sim.create_cell(name="Cell1", morphology=m1)


lk_chl = env.Channel(
                         StdChlLeak,
                         name="LkChl",
                         conductance=qty("0.3:mS/cm2"),
                         reversalpotential=qty("-54.3:mV"),
                       )

na_state_vars = { "m": {
                      "alpha":[-4.00,-0.10,-1.00,40.00,-10.00],
                      "beta": [4.00, 0.00, 0.00,65.00, 18.00]},
                    "h": {
                        "alpha":[0.07,0.00,0.00,65.00,20.00] ,
                        "beta": [1.00,0.00,1.00,35.00,-10.00]}
                  }

na_chl = env.Channel(
                        StdChlAlphaBeta,
                        name="NaChl", ion="na",
                        equation="m*m*m*h",
                        conductance=qty("120:mS/cm2"),
                        reversalpotential=qty("50:mV"),
                        statevars=na_state_vars,

                       )
k_state_vars = { "n": {
                      "alpha":[-0.55,-0.01,-1.0,55.0,-10.0],
                      "beta": [0.125,0,0,65,80]},
                   }

k_chl = env.Channel(
                        StdChlAlphaBeta,
                        name="KChl", ion="k",
                        equation="n*n*n*n",
                        conductance=qty("36:mS/cm2"),
                        reversalpotential=qty("-77:mV"),
                        statevars=k_state_vars,

                       )


# Apply the channels uniformly over the cell
cell.apply_channel( lk_chl)
cell.apply_channel( na_chl)
cell.apply_channel( k_chl)
cell.set_passive( PassiveProperty.SpecificCapacitance, qty('1.0:uF/cm2'))


# Create the stimulus and record the injected current:
cc = sim.create_currentclamp(name="Stim1", amp=qty("250:pA"), dur=qty("100:ms"), delay=qty("100:ms"), cell_location=cell.soma)
sim.record(cc, what=StandardTags.Current)
# Define what to record:
sim.record(cell, what=StandardTags.Voltage, name="SomaVoltage", cell_location = cell.soma)

# run the simulation
results = sim.run()

# Create an output .pdf
SimulationMRedoc.build( sim ).to_pdf(__file__ + '.pdf')

# Display the results:
TagViewer([results], timerange=(50, 250)*units.ms, show=True)

Figures

../_images/singlecell_simulation020_out1.png

Download Figure

../_images/singlecell_simulation020_out2.png

Download Figure

../_images/singlecell_simulation020_out3.png

Download Figure

../_images/singlecell_simulation020_out4.png

Download Figure

Output

    No handlers could be found for logger "neurounits"
2013-12-01 17:10:18,115 - morphforge.core.logmgr - INFO - Logger Started OK
2013-12-01 17:10:18,115 - DISABLEDLOGGING - INFO - _run_spawn() [Pickling Sim]
No handlers could be found for logger "neurounits"
2013-12-01 17:10:20,286 - morphforge.core.logmgr - INFO - Logger Started OK
2013-12-01 17:10:20,286 - DISABLEDLOGGING - INFO - Ensuring Modfile is built
NEURON -- Release 7.3 (869:0141cf0aff14) 2013-05-10
Duke, Yale, and the BlueBrain Project -- Copyright 1984-2013
See http://www.neuron.yale.edu/neuron/credits

['DBUS_SESSION_BUS_ADDRESS', 'DEFAULTS_PATH', 'DESKTOP_SESSION', 'DESKTOP_STARTUP_ID', 'DISPLAY', 'GDMSESSION', 'GNOME_KEYRING_CONTROL', 'GNOME_KEYRING_PID', 'GREP_COLOR', 'GREP_OPTIONS', 'GRIN_ARGS', 'GTK_MODULES', 'HOME', 'INFANDANGO_CONFIGFILE', 'INFANDANGO_ROOT', 'LANG', 'LANGUAGE', 'LC_CTYPE', 'LD_LIBRARY_PATH', 'LESS', 'LOGNAME', 'LSCOLORS', 'MANDATORY_PATH', 'MREORG_CONFIG', 'OLDPWD', 'PAGER', 'PATH', 'PWD', 'PYTHONPATH', 'SHELL', 'SHLVL', 'SSH_AGENT_PID', 'SSH_AUTH_SOCK', 'TERM', 'TEXTDOMAIN', 'TEXTDOMAINDIR', 'UBUNTU_MENUPROXY', 'USER', 'WINDOWID', 'XAUTHORITY', 'XDG_CONFIG_DIRS', 'XDG_DATA_DIRS', 'XDG_RUNTIME_DIR', 'XDG_SEAT_PATH', 'XDG_SESSION_COOKIE', 'XDG_SESSION_PATH', 'XTERM_LOCALE', 'XTERM_SHELL', 'XTERM_VERSION', '_', '_JAVA_AWT_WM_NONREPARENTING']
Loading Bundle from: /mnt/scratch/tmp/morphforge/tmp/simulationresults/db/db870e598fa1b621b94bff2ce22d64fc.bundle (11k) : 0.842 seconds
set(['conductance', 'reversalpotential'])
__dict__ {'mm_neuronNumber': None, 'cachedNeuronSuffix': None, 'reversalpotential': array(-54.3) * mV, '_name': 'LkChl', '_simulation': None, 'conductance': array(3.0) * s**3*A**2/(kg*m**4)}

loading membrane mechanisms from /mnt/scratch/tmp/morphforge/tmp/modout/mod_1b9db84d43b77ec2fb2e53e206df6e31.so
loading membrane mechanisms from /mnt/scratch/tmp/morphforge/tmp/modout/mod_08fd042f5617092e986b5453289c786a.so
loading membrane mechanisms from /mnt/scratch/tmp/morphforge/tmp/modout/mod_7df4c149812c25e673966e04c457447e.so
Running Hoc File: /mnt/scratch/tmp/morphforge/tmp/tmp_3d0a34ae6feef35b474e272039b9a688.hoc
    1
    1
    0.01
    0
    1
    50000
    1
    50000
    1
Running Simulation
Time for Extracting Data: (2 records) 0.00370597839355
Running simulation : 0.404 seconds
Size of results file: 0.1 (MB)
Post-processing : 0.011 seconds
Entire load-run-save time : 1.258 seconds
Suceeded
/usr/bin/pdflatex
['DBUS_SESSION_BUS_ADDRESS', 'DEFAULTS_PATH', 'DESKTOP_SESSION', 'DESKTOP_STARTUP_ID', 'DISPLAY', 'GDMSESSION', 'GNOME_KEYRING_CONTROL', 'GNOME_KEYRING_PID', 'GREP_COLOR', 'GREP_OPTIONS', 'GRIN_ARGS', 'GTK_MODULES', 'HOME', 'INFANDANGO_CONFIGFILE', 'INFANDANGO_ROOT', 'LANG', 'LANGUAGE', 'LC_CTYPE', 'LESS', 'LOGNAME', 'LSCOLORS', 'MANDATORY_PATH', 'MREORG_CONFIG', 'OLDPWD', 'PAGER', 'PATH', 'PWD', 'PYTHONPATH', 'SHELL', 'SHLVL', 'SSH_AGENT_PID', 'SSH_AUTH_SOCK', 'TERM', 'TEXTDOMAIN', 'TEXTDOMAINDIR', 'UBUNTU_MENUPROXY', 'USER', 'WINDOWID', 'XAUTHORITY', 'XDG_CONFIG_DIRS', 'XDG_DATA_DIRS', 'XDG_RUNTIME_DIR', 'XDG_SEAT_PATH', 'XDG_SESSION_COOKIE', 'XDG_SESSION_PATH', 'XTERM_LOCALE', 'XTERM_SHELL', 'XTERM_VERSION', '_', '_JAVA_AWT_WM_NONREPARENTING']
_run_spawn() [Loading results from /mnt/scratch/tmp/morphforge/tmp/simulationresults/db//db870e598fa1b621b94bff2ce22d64fc.neuronsim.results.pickle ]
Warning: node 'Cell1', graph 'graphname' size too small for label
Warning: node 'Stim1', graph 'graphname' size too small for label

[(100.0, array([ 1.,  0.,  0.])), (0.0, array([ 0.,  1.,  0.])), (0.0, array([ 0.,  0.,  1.]))]
Saving figure /home/michael/.mredoc/build/figs/opfile0002
Saving figure /home/michael/.mredoc/build/figs/opfile0003
Saving figure /home/michael/.mredoc/build/figs/opfile0004
Tex File: /home/michael/.mredoc/build/pdflatex/eqnset.tex
Successfully written PDF to:  /mnt/scratch/tmp/morphforge/tmp/mf_doc_build/singlecell_simulation020.py.pdf
PlotManger saving:  _output/figures/singlecell_simulation020/{png,svg}/fig000_Autosave_figure_1.{png,svg}
PlotManger saving:  _output/figures/singlecell_simulation020/{png,svg}/fig001_Autosave_figure_2.{png,svg}
PlotManger saving:  _output/figures/singlecell_simulation020/{png,svg}/fig002_Autosave_figure_3.{png,svg}
PlotManger saving:  _output/figures/singlecell_simulation020/{png,svg}/fig003_Autosave_figure_4.{png,svg}