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Square ecode
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"""BPEM_stimulus class""" | ||
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""" | ||
Copyright 2023, EPFL/Blue Brain Project | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
""" | ||
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import logging | ||
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import numpy | ||
from bluepyopt.ephys.stimuli import NrnSquarePulse | ||
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logger = logging.getLogger(__name__) | ||
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class BPOSquarePulse(NrnSquarePulse): | ||
"""Abstract current stimulus based on BluePyOpt square stimulus. | ||
Can be used to reproduce results using BluePyOpt's NrnSquarePulse. | ||
.. code-block:: none | ||
holdi holdi+amp holdi | ||
: : : | ||
: : : | ||
: ______________________ : | ||
: | | : | ||
: | | : | ||
: | | : | ||
: | | : | ||
|__________________| |______________________ | ||
^ ^ ^ ^ | ||
: : : : | ||
: : : : | ||
t=0 delay delay+duration totduration | ||
""" | ||
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name = "" | ||
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def __init__(self, location, **kwargs): | ||
"""Constructor | ||
Args: | ||
location(Location): location of stimulus | ||
""" | ||
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super().__init__( | ||
step_amplitude=kwargs.get("amp", None), | ||
step_delay=kwargs.get("delay", 250.0), | ||
step_duration=kwargs.get("duration", 1350.0), | ||
total_duration=kwargs.get("totduration", 1850.0), | ||
location=location, | ||
) | ||
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self.holding_current = kwargs.get("holding_current", None) | ||
self.holding_iclamp = None | ||
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@property | ||
def stim_start(self): | ||
return self.step_delay | ||
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@property | ||
def stim_end(self): | ||
return self.step_delay + self.step_duration | ||
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@property | ||
def amplitude(self): | ||
return self.step_amplitude | ||
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def instantiate(self, sim=None, icell=None): | ||
"""Run stimulus""" | ||
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icomp = self.location.instantiate(sim=sim, icell=icell) | ||
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self.iclamp = sim.neuron.h.IClamp(icomp.x, sec=icomp.sec) | ||
self.iclamp.dur = self.step_duration | ||
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self.iclamp.delay = self.step_delay | ||
self.iclamp.amp = self.step_amplitude | ||
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if self.holding_current is not None: | ||
self.holding_iclamp = sim.neuron.h.IClamp(icomp.x, sec=icomp.sec) | ||
self.holding_iclamp.dur = self.total_duration | ||
self.holding_iclamp.delay = 0 | ||
self.holding_iclamp.amp = self.holding_current | ||
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def destroy(self, sim=None): # pylint:disable=W0613 | ||
"""Destroy stimulus""" | ||
self.iclamp = None | ||
self.holding_iclamp = None | ||
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def generate(self, dt=0.1): | ||
"""Return current time series""" | ||
holding_current = self.holding_current if self.holding_current is not None else 0 | ||
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t = numpy.arange(0.0, self.total_duration, dt) | ||
current = numpy.full(t.shape, holding_current, dtype="float64") | ||
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ton_idx = int(self.stim_start / dt) | ||
toff_idx = int(self.stim_end / dt) | ||
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current[ton_idx:toff_idx] += self.amplitude | ||
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return t, current | ||
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def __str__(self): | ||
"""String representation""" | ||
return f"{self.name} current played at {self.location}" |
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