Source code for bluepyopt.ephys.morphologies

"""Morphology classes"""

Copyright (c) 2016-2020, EPFL/Blue Brain Project

 This file is part of BluePyOpt <>

 This library is free software; you can redistribute it and/or modify it under
 the terms of the GNU Lesser General Public License version 3.0 as published
 by the Free Software Foundation.

 This library is distributed in the hope that it will be useful, but WITHOUT
 ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
 FOR A PARTICULAR PURPOSE.  See the GNU Lesser General Public License for more

 You should have received a copy of the GNU Lesser General Public License
 along with this library; if not, write to the Free Software Foundation, Inc.,
 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.

# pylint: disable=W0511

import os
import platform
import logging
from bluepyopt.ephys.base import BaseEPhys
from bluepyopt.ephys.serializer import DictMixin

logger = logging.getLogger(__name__)

# TODO define an addressing scheme

[docs]class Morphology(BaseEPhys): """Morphology class""" pass
[docs]class NrnFileMorphology(Morphology, DictMixin): """Morphology loaded from a file""" SERIALIZED_FIELDS = ('morphology_path', 'do_replace_axon', 'do_set_nseg', 'replace_axon_hoc', ) def __init__( self, morphology_path, do_replace_axon=False, do_set_nseg=True, comment='', replace_axon_hoc=None, nseg_frequency=40, morph_modifiers=None, morph_modifiers_hoc=None): """Constructor Args: morphology_path (str): location of the file describing the morphology do_replace_axon (bool): Does the axon need to be replaced by an AIS stub with default function ? replace_axon_hoc (str): Translation in HOC language for the 'replace_axon' method. This code will 'only' be used when calling create_hoc on a cell model. While the model is run in python, replace_axon is used instead. Must include 'proc replace_axon(){ ... } If None,the default replace_axon is used nseg_frequency (float): frequency of nseg do_set_nseg (bool): if True, it will use nseg_frequency morph_modifiers (list): list of functions to modify the icell with (sim, icell) as arguments morph_modifiers_hoc (list): list of hoc strings corresponding to morph_modifiers """ name = os.path.basename(morphology_path) super(NrnFileMorphology, self).__init__(name=name, comment=comment) # TODO speed up loading of morphologies from files # Path to morphology self.morphology_path = morphology_path self.do_replace_axon = do_replace_axon self.do_set_nseg = do_set_nseg self.nseg_frequency = nseg_frequency self.morph_modifiers = morph_modifiers self.morph_modifiers_hoc = morph_modifiers_hoc if replace_axon_hoc is None: self.replace_axon_hoc = self.default_replace_axon_hoc else: self.replace_axon_hoc = replace_axon_hoc def __str__(self): """Return string representation""" return self.morphology_path
[docs] def instantiate(self, sim=None, icell=None): """Load morphology""" logger.debug('Loading morphology %s', self.morphology_path) if not os.path.exists(self.morphology_path): raise IOError( 'Morphology not found at \'%s\'' % self.morphology_path) sim.neuron.h.load_file('stdrun.hoc') sim.neuron.h.load_file('import3d.hoc') extension = self.morphology_path.split('.')[-1] if extension.lower() == 'swc': imorphology = sim.neuron.h.Import3d_SWC_read() elif extension.lower() == 'asc': imorphology = sim.neuron.h.Import3d_Neurolucida3() else: raise ValueError("Unknown filetype: %s" % extension) # TODO this is to get rid of stdout print of neuron # probably should be more intelligent here, and filter out the # lines we don't want imorphology.quiet = 1 if platform.system() == 'Windows': sim.neuron.h.hoc_stdout('NUL') else: sim.neuron.h.hoc_stdout('/dev/null') imorphology.input(str(self.morphology_path)) sim.neuron.h.hoc_stdout() morphology_importer = sim.neuron.h.Import3d_GUI(imorphology, 0) morphology_importer.instantiate(icell) # TODO Set nseg should be called after all the parameters have been # set # (in case e.g. Ra was changed) if self.do_set_nseg: self.set_nseg(icell) if self.do_replace_axon: self.replace_axon(sim=sim, icell=icell) if self.morph_modifiers is not None: for morph_modifier in self.morph_modifiers: morph_modifier(sim=sim, icell=icell)
[docs] def destroy(self, sim=None): """Destroy morphology instantiation""" pass
[docs] def set_nseg(self, icell): """Set the nseg of every section""" for section in icell.all: section.nseg = 1 + 2 * int(section.L / self.nseg_frequency)
[docs] @staticmethod def replace_axon(sim=None, icell=None): """Replace axon""" nsec = len([sec for sec in icell.axonal]) if nsec == 0: ais_diams = [1, 1] elif nsec == 1: ais_diams = [icell.axon[0].diam, icell.axon[0].diam] else: ais_diams = [icell.axon[0].diam, icell.axon[0].diam] # Define origin of distance function sim.neuron.h.distance(0, 0.5, sec=icell.soma[0]) for section in icell.axonal: # If distance to soma is larger than 60, store diameter if sim.neuron.h.distance(1, 0.5, sec=section) > 60: ais_diams[1] = section.diam break for section in icell.axonal: sim.neuron.h.delete_section(sec=section) # Create new axon array sim.neuron.h.execute('create axon[2]', icell) for index, section in enumerate(icell.axon): section.nseg = 1 section.L = 30 section.diam = ais_diams[index] icell.axonal.append(sec=section) icell.all.append(sec=section) icell.axon[0].connect(icell.soma[0], 1.0, 0.0) icell.axon[1].connect(icell.axon[0], 1.0, 0.0) logger.debug('Replace axon with AIS')
default_replace_axon_hoc = \ ''' proc replace_axon(){ local nSec, D1, D2 // preserve the number of original axonal sections nSec = sec_count(axonal) // Try to grab info from original axon if(nSec == 0) { //No axon section present D1 = D2 = 1 } else if(nSec == 1) { axon[0] D1 = D2 = diam } else { axon[0] D1 = D2 = diam soma distance() //to calculate distance from soma forsec axonal{ //if section is longer than 60um then store diam and exit from loop if(distance(0.5) > 60){ D2 = diam break } } } // get rid of the old axon forsec axonal{ delete_section() } create axon[2] axon[0] { L = 30 diam = D1 nseg = 1 + 2*int(L/40) all.append() axonal.append() } axon[1] { L = 30 diam = D2 nseg = 1 + 2*int(L/40) all.append() axonal.append() } nSecAxonal = 2 soma[0] connect axon[0](0), 1 axon[0] connect axon[1](0), 1 } '''