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# -*- coding: utf-8 -*-
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"""
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A very generic case where the same morphology on different file formats
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is loaded in LFPy using a generic template specification, defined by
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file LFPyCellTemplate.hoc
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Execution:
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python example_LFPyCellTemplate.py
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Copyright (C) 2017 Computational Neuroscience Group, NMBU.
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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"""
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import LFPy
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import neuron
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import numpy as np
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import matplotlib.pyplot as plt
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#A plottin' function
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def plotcell(cell, color='k'):
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for sec in cell.template.all:
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idx = cell.get_idx(sec.name())
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plt.plot(np.r_[cell.xstart[idx], cell.xend[idx][-1]],
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np.r_[cell.zstart[idx], cell.zend[idx][-1]],
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color=color)
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print(' ')
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#delete cell instances from previous script executions,
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neuron.h('forall delete_section()')
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#create some cell instances, set the positions, plot the morphologies
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cell1 = LFPy.TemplateCell(
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morphology='morphologies/markram/CNG version/C010398B-P2.CNG.swc',
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templatefile='LFPyCellTemplate.hoc',
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templatename='LFPyCellTemplate',
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templateargs=None)
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cell1.set_pos(0)
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plotcell(cell=cell1, color='r')
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cell2 = LFPy.TemplateCell(
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morphology='morphologies/markram/Source-Version/C010398B-P2.asc',
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templatefile='LFPyCellTemplate.hoc',
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templatename='LFPyCellTemplate',
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templateargs=None)
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cell2.set_pos(200)
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plotcell(cell=cell2, color='g')
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cell3 = LFPy.TemplateCell(
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morphology='morphologies/markram/hoc-version/C010398B-P2.hoc',
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templatefile='LFPyCellTemplate.hoc',
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templatename='LFPyCellTemplate',
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templateargs=None)
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cell3.set_pos(400)
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plotcell(cell=cell3, color='b')
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plt.show()
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