Enable injecting Python generated Stimuli [vcs: #minor]

CHANGELOG.rst

@@ -1,6 +1,16 @@
 Changelog
 ==========
 
+2.4.0
+------
+
+* Add StimulusFactory enabling Python generated Stimulus creation
+* Stimulus creation through StimulusFactory is decoupled from the Cell object
+* Cell.add_step and Cell.add_ramp use StimulusFactory
+* Move stimuli module to stimulus/circuit_stimulus_definitions
+* [DOCS] Add list of stimuli page that describe, generate and plot the stimuli
+* Add jupyter notebook displaying how to inject the StimulusFactory Stimulus into Cell
+
 2.3.0
 -------
 

bluecellulab/cell/core.py

@@ -41,7 +41,7 @@
 from bluecellulab.importer import load_hoc_and_mod_files
 from bluecellulab.neuron_interpreter import eval_neuron
 from bluecellulab.rngsettings import RNGSettings
-from bluecellulab.stimuli import SynapseReplay
+from bluecellulab.stimulus.circuit_stimulus_definitions import SynapseReplay
 from bluecellulab.synapse import SynapseFactory, Synapse
 from bluecellulab.synapse.synapse_types import SynapseID
 from bluecellulab.type_aliases import HocObjectType, NeuronSection

bluecellulab/cell/injector.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 """Contains injection functionality for the cell."""
-
+from __future__ import annotations
 import math
 import warnings
 import logging
@@ -27,7 +27,7 @@
     get_relative_shotnoise_params,
 )
 from bluecellulab.exceptions import BluecellulabError
-from bluecellulab.stimuli import (
+from bluecellulab.stimulus.circuit_stimulus_definitions import (
     ClampMode,
     Hyperpolarizing,
     Noise,
@@ -36,7 +36,8 @@
     RelativeOrnsteinUhlenbeck,
     RelativeShotNoise,
 )
-from bluecellulab.type_aliases import HocObjectType
+from bluecellulab.stimulus.factory import StimulusFactory
+from bluecellulab.type_aliases import NeuronSection
 
 
 logger = logging.getLogger(__name__)
@@ -69,36 +70,62 @@ def add_pulse(self, stimulus):
         self.persistent.append(tstim)
         return tstim
 
-    def add_step(self, start_time, stop_time, level, section=None, segx=0.5):
-        """Add a step current injection."""
-        if section is None:
-            section = self.soma
-
-        tstim = neuron.h.TStim(segx, sec=section)
-        duration = stop_time - start_time
-        tstim.pulse(start_time, duration, level)
-        self.persistent.append(tstim)
-        return tstim
+    def add_step(
+        self,
+        start_time: float,
+        stop_time: float,
+        level: float,
+        section: NeuronSection | None = None,
+        segx: float = 0.5,
+        dt: float = 0.025
+    ) -> tuple[np.ndarray, np.ndarray]:
+        """Add a step current injection.
 
-    def add_ramp(self, start_time, stop_time, start_level, stop_level,
-                 section=None, segx=0.5):
-        """Add a ramp current injection."""
-        if section is None:
-            section = self.soma
+        Args:
+            start_time: Start time of the step injection in seconds.
+            stop_time: Stop time of the step injection in seconds.
+            level: Current level to inject in nanoamperes (nA).
+            section: The section to inject current into.
+                Defaults to the soma section.
+            segx: The fractional location within the section to inject.
+                Defaults to 0.5 (center of the section).
+
+        Returns:
+            Tuple of time and current data.
+        """
+        stim = StimulusFactory(dt=dt).step(start_time, stop_time, level)
+        t_content, i_content = stim.time, stim.current
+        self.inject_current_waveform(t_content, i_content, section, segx)
+        return (t_content, i_content)
 
-        tstim = neuron.h.TStim(segx, sec=section)
+    def add_ramp(
+        self,
+        start_time: float,
+        stop_time: float,
+        start_level: float,
+        stop_level: float,
+        section: NeuronSection | None = None,
+        segx: float = 0.5,
+        dt: float = 0.025
+    ) -> tuple[np.ndarray, np.ndarray]:
+        """Add a ramp current injection.
 
-        tstim.ramp(
-            0.0,
-            start_time,
-            start_level,
-            stop_level,
-            stop_time - start_time,
-            0.0,
-            0.0)
+        Args:
+            start_time: Start time of the ramp injection in seconds.
+            stop_time: Stop time of the ramp injection in seconds.
+            start_level: Current level at the start of the ramp in nanoamperes (nA).
+            stop_level: Current level at the end of the ramp in nanoamperes (nA).
+            section: The section to inject current into (optional). Defaults to soma.
+            segx: The fractional location within the section to inject (optional).
+
+        Returns:
+            A tuple of numpy arrays containing time and current data.
+        """
+        stim = StimulusFactory(dt=dt).ramp(start_time, stop_time, start_level, stop_level)
+        t_content, i_content = stim.time, stim.current
+        self.inject_current_waveform(t_content, i_content, section, segx)
 
-        self.persistent.append(tstim)
-        return tstim
+        return t_content, i_content
 
     def add_voltage_clamp(
             self, stop_time, level, rs=None, section=None, segx=0.5,
@@ -395,32 +422,22 @@ def add_relative_ornstein_uhlenbeck(
         else:
             return self.inject_current_clamp_signal(section, segx, tvec, svec)
 
-    def inject_current_waveform(self, t_content, i_content, section=None,
-                                segx=0.5):
-        """Inject a custom current to the cell."""
-        start_time = t_content[0]
-        stop_time = t_content[-1]
-        time = neuron.h.Vector()
-        currents = neuron.h.Vector()
-        time = time.from_python(t_content)
-        currents = currents.from_python(i_content)
-
+    def inject_current_waveform(self, t_content, i_content, section=None, segx=0.5):
+        """Inject a custom current waveform into the cell."""
         if section is None:
             section = self.soma
+
+        time_vector = neuron.h.Vector().from_python(t_content)
+        current_vector = neuron.h.Vector().from_python(i_content)
+
         pulse = neuron.h.IClamp(segx, sec=section)
-        self.persistent.append(pulse)
-        self.persistent.append(time)
-        self.persistent.append(currents)
-        setattr(pulse, 'del', start_time)
-        pulse.dur = stop_time - start_time
-        currents.play(pulse._ref_amp, time)
-        return currents
-
-    @deprecated("Use inject_current_waveform instead.")
-    def injectCurrentWaveform(self, t_content, i_content, section=None,
-                              segx=0.5):
-        """Inject a current in the cell."""
-        return self.inject_current_waveform(t_content, i_content, section, segx)
+        self.persistent.extend([pulse, time_vector, current_vector])
+
+        pulse.delay = t_content[0]
+        pulse.dur = t_content[-1] - t_content[0]
+        current_vector.play(pulse._ref_amp, time_vector)
+
+        return current_vector
 
     @deprecated("Use add_sin_current instead.")
     def addSineCurrentInject(self, start_time, stop_time, freq,
@@ -435,7 +452,7 @@ def addSineCurrentInject(self, start_time, stop_time, freq,
         t_content = np.arange(start_time, stop_time, dt)
         i_content = [amplitude * math.sin(freq * (x - start_time) * (
             2 * math.pi)) + mid_level for x in t_content]
-        self.injectCurrentWaveform(t_content, i_content)
+        self.inject_current_waveform(t_content, i_content)
         return (t_content, i_content)
 
     def add_sin_current(self, amp, start_time, duration, frequency,
@@ -454,9 +471,9 @@ def add_alpha_synapse(
         tau: float,
         gmax: float,
         e: float,
-        section: HocObjectType,
+        section: NeuronSection,
         segx=0.5,
-    ) -> HocObjectType:
+    ) -> NeuronSection:
         """Add an AlphaSynapse NEURON point process stimulus to the cell."""
         syn = neuron.h.AlphaSynapse(segx, sec=section)
         syn.onset = onset

bluecellulab/circuit/config/bluepy_simulation_config.py

@@ -25,7 +25,7 @@
     from bluepy.utils import open_utf8
 
 from bluecellulab.circuit.config.sections import Conditions, ConnectionOverrides
-from bluecellulab.stimuli import Stimulus
+from bluecellulab.stimulus.circuit_stimulus_definitions import Stimulus
 
 
 class BluepySimulationConfig:

bluecellulab/circuit/config/definition.py

@@ -18,7 +18,7 @@
 
 
 from bluecellulab.circuit.config.sections import Conditions, ConnectionOverrides
-from bluecellulab.stimuli import Stimulus
+from bluecellulab.stimulus.circuit_stimulus_definitions import Stimulus
 
 
 class SimulationConfig(Protocol):

bluecellulab/circuit/config/sonata_simulation_config.py

@@ -17,7 +17,7 @@
 from typing import Optional
 
 from bluecellulab.circuit.config.sections import Conditions, ConnectionOverrides
-from bluecellulab.stimuli import Stimulus
+from bluecellulab.stimulus.circuit_stimulus_definitions import Stimulus
 
 from bluepysnap import Simulation as SnapSimulation
 

bluecellulab/ssim.py

@@ -40,8 +40,8 @@
 from bluecellulab.circuit.node_id import create_cell_id, create_cell_ids
 from bluecellulab.circuit.simulation_access import BluepySimulationAccess, SimulationAccess, SonataSimulationAccess, _sample_array
 from bluecellulab.importer import load_hoc_and_mod_files
-from bluecellulab.stimuli import Noise, OrnsteinUhlenbeck, RelativeOrnsteinUhlenbeck, RelativeShotNoise, ShotNoise
-import bluecellulab.stimuli as stimuli
+from bluecellulab.stimulus.circuit_stimulus_definitions import Noise, OrnsteinUhlenbeck, RelativeOrnsteinUhlenbeck, RelativeShotNoise, ShotNoise
+import bluecellulab.stimulus.circuit_stimulus_definitions as circuit_stimulus_definitions
 from bluecellulab.exceptions import BluecellulabError
 from bluecellulab.simulation import (
     set_global_condition_parameters,
@@ -298,40 +298,40 @@ def _add_stimuli(self, add_noise_stimuli=False,
             for cell_id in self.cells:
                 if cell_id not in gids_of_target:
                     continue
-                if isinstance(stimulus, stimuli.Noise):
+                if isinstance(stimulus, circuit_stimulus_definitions.Noise):
                     if add_noise_stimuli:
                         self.cells[cell_id].add_replay_noise(
                             stimulus, noisestim_count=noisestim_count)
-                elif isinstance(stimulus, stimuli.Hyperpolarizing):
+                elif isinstance(stimulus, circuit_stimulus_definitions.Hyperpolarizing):
                     if add_hyperpolarizing_stimuli:
                         self.cells[cell_id].add_replay_hypamp(stimulus)
-                elif isinstance(stimulus, stimuli.Pulse):
+                elif isinstance(stimulus, circuit_stimulus_definitions.Pulse):
                     if add_pulse_stimuli:
                         self.cells[cell_id].add_pulse(stimulus)
-                elif isinstance(stimulus, stimuli.RelativeLinear):
+                elif isinstance(stimulus, circuit_stimulus_definitions.RelativeLinear):
                     if add_relativelinear_stimuli:
                         self.cells[cell_id].add_replay_relativelinear(stimulus)
-                elif isinstance(stimulus, stimuli.ShotNoise):
+                elif isinstance(stimulus, circuit_stimulus_definitions.ShotNoise):
                     if add_shotnoise_stimuli:
                         self.cells[cell_id].add_replay_shotnoise(
                             self.cells[cell_id].soma, 0.5, stimulus,
                             shotnoise_stim_count=shotnoise_stim_count)
-                elif isinstance(stimulus, stimuli.RelativeShotNoise):
+                elif isinstance(stimulus, circuit_stimulus_definitions.RelativeShotNoise):
                     if add_shotnoise_stimuli:
                         self.cells[cell_id].add_replay_relative_shotnoise(
                             self.cells[cell_id].soma, 0.5, stimulus,
                             shotnoise_stim_count=shotnoise_stim_count)
-                elif isinstance(stimulus, stimuli.OrnsteinUhlenbeck):
+                elif isinstance(stimulus, circuit_stimulus_definitions.OrnsteinUhlenbeck):
                     if add_ornstein_uhlenbeck_stimuli:
                         self.cells[cell_id].add_ornstein_uhlenbeck(
                             self.cells[cell_id].soma, 0.5, stimulus,
                             stim_count=ornstein_uhlenbeck_stim_count)
-                elif isinstance(stimulus, stimuli.RelativeOrnsteinUhlenbeck):
+                elif isinstance(stimulus, circuit_stimulus_definitions.RelativeOrnsteinUhlenbeck):
                     if add_ornstein_uhlenbeck_stimuli:
                         self.cells[cell_id].add_relative_ornstein_uhlenbeck(
                             self.cells[cell_id].soma, 0.5, stimulus,
                             stim_count=ornstein_uhlenbeck_stim_count)
-                elif isinstance(stimulus, stimuli.SynapseReplay):  # sonata only
+                elif isinstance(stimulus, circuit_stimulus_definitions.SynapseReplay):  # sonata only
                     if self.circuit_access.target_contains_cell(
                         stimulus.target, cell_id
                     ):

bluecellulab/stimulus/__init__.py

@@ -0,0 +1 @@
+from .factory import StimulusFactory

bluecellulab/stimuli.py → bluecellulab/stimulus/circuit_stimulus_definitions.py

@@ -11,7 +11,11 @@
 # 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.
+"""Defines the expected data structures associated with the stimulus defined in
+simulation configs.
 
+Run-time validates the data via Pydantic.
+"""
 from __future__ import annotations
 
 from enum import Enum