Source code for bluepyefe.ecode.posCheops

"""Cheops eCode"""

"""
Copyright (c) 2022, EPFL/Blue Brain Project

 This file is part of BluePyEfe <https://github.com/BlueBrain/BluePyEfe>

 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
 details.

 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.
"""
import logging
import numpy

from ..recording import Recording
from .tools import scipy_signal2d

logger = logging.getLogger(__name__)


[docs] class PosCheops(Recording): # pylint: disable=line-too-long,anomalous-backslash-in-string """PosCheops current stimulus .. code-block:: none hypamp hypamp+amp hypamp hypamp+amp hypamp hypamp+amp hypamp : : : : : : : : . : . : . : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : : / \ : / \ : / \ : |__________ / \ __________ / \ __________ / \ __________ : : : : : : : ^ : : : : : : : : : : : : : : : : t=0 ton t1 t2 t3 t4 toff tend """ def __init__( self, config_data, reader_data, protocol_name="PosCheops", efel_settings=None ): super(PosCheops, self).__init__( config_data, reader_data, protocol_name ) self.ton = None self.t1 = None self.t2 = None self.t3 = None self.t4 = None self.tend = None self.amp = None self.hypamp = None self.dt = None self.amp_rel = None self.hypamp_rel = None if self.t is not None and self.current is not None: self.interpret( self.t, self.current, self.config_data, self.reader_data ) if self.voltage is not None: self.set_autothreshold() self.compute_spikecount(efel_settings) self.export_attr = ["ton", "t1", "t2", "t3", "t4", "toff", "tend", "amp", "hypamp", "dt", "amp_rel", "hypamp_rel"]
[docs] def get_stimulus_parameters(self): """Returns the eCode parameters""" ecode_params = { "delay": self.ton, "t1": self.t1, "t2": self.t2, "t3": self.t3, "t4": self.t4, "toff": self.toff, "amp": self.amp, "thresh_perc": self.amp_rel, "duration": self.toff - self.ton, "totduration": self.tend } return ecode_params
[docs] def interpret(self, t, current, config_data, reader_data): """Analyse a current array and extract from it the parameters needed to reconstruct the array""" self.dt = t[1] # Smooth the current smooth_current = scipy_signal2d(current, 85) self.set_timing_ecode( ["ton", "t1", "t2", "t3", "t4", "toff"], config_data) hypamp_value = numpy.median(smooth_current[: self.ton]) self.set_amplitudes_ecode("hypamp", config_data, reader_data, hypamp_value) amp_value = numpy.max(smooth_current[:]) - self.hypamp self.set_amplitudes_ecode("amp", config_data, reader_data, amp_value) # Converting back to ms for name_timing in ["ton", "t1", "t2", "t3", "t4", "toff"]: self.index_to_ms(name_timing, t) self.tend = len(t) * self.dt
[docs] def generate(self): """Generate the current array from the parameters of the ecode""" ton = int(self.ton / self.dt) t1 = int(self.t1 / self.dt) t2 = int(self.t2 / self.dt) t3 = int(self.t3 / self.dt) t4 = int(self.t4 / self.dt) toff = int(self.toff / self.dt) time = numpy.arange(0.0, self.tend, self.dt) current = numpy.full(time.shape, numpy.float64(self.hypamp)) # First peak mid = int(0.5 * (self.ton + self.t1) / self.dt) current[ton:mid] += numpy.linspace(0.0, self.amp, mid - ton) current[mid:t1] += numpy.linspace(self.amp, 0.0, t1 - mid) # Second peak mid = int(0.5 * (self.t2 + self.t3) / self.dt) current[t2:mid] += numpy.linspace(0.0, self.amp, mid - t2) current[mid:t3] += numpy.linspace(self.amp, 0.0, t3 - mid) # Third peak mid = int(0.5 * (self.t4 + self.toff) / self.dt) current[t4:mid] += numpy.linspace(0.0, self.amp, mid - t4) current[mid:toff] += numpy.linspace(self.amp, 0.0, toff - mid) return time, current