model of DCN pyramidal neuron
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import os
import os.path
from neuron import h
import numpy as np
import scipy
import scipy.integrate
import scipy.stats
from .protocol import Protocol
try:
import pyqtgraph as pg
HAVE_PG = True
except ImportError:
HAVE_PG = False
from ..util import custom_init
from ..util.stim import make_pulse
# import matplotlib as MP # must call first... before pylag/pyplot or backends
# MP.use('Qt4Agg')
# import matplotlib.gridspec as GS
# import mpl_toolkits.axes_grid1.inset_locator as INSETS
# import mpl_toolkits.axes_grid1.anchored_artists as ANCHOR
# stdFont = 'Arial'
# import matplotlib.pyplot as pylab
# pylab.rcParams['interactive'] = False
# pylab.rcParams['mathtext.default'] = 'sf'
## next setting allows pdf font to be readable in Adobe Illustrator
# pylab.rcParams['pdf.fonttype'] = 42
# pylab.rcParams['figure.facecolor'] = 'white'
class VCCurve(Protocol):
def __init__(self):
super(VCCurve, self).__init__()
def reset(self):
super(VCCurve, self).reset()
self.voltage_traces = []
self.current_traces = []
self.durs = None # durations of current steps
self.voltage_cmd = None # Current command levels
self.time_values = None
self.dt = None
def run(self, vcrange, cell, dt=0.025):
"""
Run voltage-clamp I/V curve.
Parameters
----------
vmin : float
Minimum voltage step value
vmax :
Maximum voltage step value
vstep :
Voltage difference between steps
cell :
The Cell instance to test.
"""
self.reset()
self.cell = cell
try:
(vmin, vmax, vstep) = vcrange # unpack the tuple...
except:
raise TypeError("run_iv argument 1 must be a tuple (imin, imax, istep)")
vstim = h.SEClamp(0.5, cell.soma) # set up a single-electrode clamp
vstim.dur1 = 50.0
vstim.amp1 = -60
vstim.dur2 = 500.0
vstim.amp2 = -60.0
vstim.dur3 = 400
vstim.amp3 = -60.0
vstim.rs = 0.01
cell.soma.cm = 0.001 # reduce capacitative transients (cap compensation)
self.durs = [vstim.dur1, vstim.dur2, vstim.dur3]
self.amps = [vstim.amp1, vstim.amp2, vstim.amp3]
self.voltage_cmd = []
tend = 900.0
iv_nstepv = int(np.ceil((vmax - vmin) / vstep))
iv_minv = vmin
iv_maxv = vmax
vstep = (iv_maxv - iv_minv) / iv_nstepv
for i in range(iv_nstepv):
self.voltage_cmd.append(float(i * vstep) + iv_minv)
nreps = iv_nstepv
h.dt = dt
self.dt = h.dt
for i in range(nreps):
# Connect recording vectors
self["v_soma"] = cell.soma(0.5)._ref_v
self["i_inj"] = vstim._ref_i
self["time"] = h._ref_t
vstim.amp2 = self.voltage_cmd[i]
custom_init(v_init=-60.0)
h.tstop = tend
self.cell.check_all_mechs()
while h.t < h.tstop:
h.fadvance()
self.voltage_traces.append(self["v_soma"])
self.current_traces.append(self["i_inj"])
self.time_values = np.array(self["time"])
def steady_im(self, window=0.1):
"""
Parameters
----------
window : float (default: 0.1)
fraction of window to use for steady-state measurement, taken
immediately before the end of the step
Returns
-------
steady-state membrane current for each trace.
"""
Im = self.current_traces
steps = len(Im)
steadyStop = int((self.durs[0] + self.durs[1]) / self.dt)
steadyStart = int(steadyStop - (self.durs[1] * window) / self.dt)
Isteady = [Im[i][steadyStart:steadyStop].mean() for i in range(steps)]
return np.array(Isteady)
def peak_im(self, window=0.4):
"""
Parameters
----------
window: float (default=0.4)
fraction of window to use for peak measurement, taken
immediately following the beginning of the step
Returns
------
steady-state membrane current for each trace.
"""
Im = self.current_traces
steps = len(Im)
peakStop = int((self.durs[0] + window * self.durs[1]) / self.dt)
peakStart = int(self.durs[0] / self.dt)
Vhold = self.amps[
0
] # np.mean([self.voltage_traces[i][:peakStart].mean() for i in range(steps)])
Ipeak = []
for i in range(steps):
if self.voltage_cmd[i] > Vhold:
Ipeak.append(Im[i][peakStart:peakStop].max())
else:
Ipeak.append(Im[i][peakStart:peakStop].min())
return np.array(Ipeak)
def show(self, cell=None):
"""
Plot results from run_iv()
"""
if not HAVE_PG:
raise Exception("Requires pyqtgraph")
#
# Generate figure with subplots
#
app = pg.mkQApp()
if cell is not None:
win = pg.GraphicsWindow(
"%s %s (%s)"
% (
cell.status["name"],
cell.status["modelType"],
cell.status["species"],
)
)
else:
win = pg.GraphisWindow("Voltage Clamp")
self.win = win
win.resize(1000, 800)
Iplot = win.addPlot(labels={"left": "Im (nA)", "bottom": "Time (ms)"})
rightGrid = win.addLayout(rowspan=2)
win.nextRow()
Vplot = win.addPlot(labels={"left": "V (mV)", "bottom": "Time (ms)"})
IVplot = rightGrid.addPlot(labels={"left": "Vm (mV)", "bottom": "Icmd (nA)"})
IVplot.showGrid(x=True, y=True)
rightGrid.nextRow()
win.ci.layout.setRowStretchFactor(0, 10)
win.ci.layout.setRowStretchFactor(1, 5)
#
# Plot simulation and analysis results
#
Vm = self.voltage_traces
Iinj = self.current_traces
Vcmd = self.voltage_cmd
t = self.time_values
steps = len(Vcmd)
# plot I, V traces
colors = [(i, steps * 3.0 / 2.0) for i in range(steps)]
for i in range(steps):
Vplot.plot(t, Vm[i], pen=colors[i])
Iplot.plot(t, Iinj[i], pen=colors[i])
# I/V relationships
IVplot.plot(Vcmd, self.peak_im(), symbol="o", symbolBrush=(50, 150, 50, 255))
IVplot.plot(Vcmd, self.steady_im(), symbol="s")