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"""
Brian 2 implementation of Population, PopulationView and Assembly.
:copyright: Copyright 2006-2026 by the PyNN team, see AUTHORS.
:license: CeCILL, see LICENSE for details.
"""
from collections import defaultdict
import numpy as np
from .. import common
from ..standardmodels import StandardCellType
from ..parameters import ArrayParameter, ParameterSpace, simplify, LazyArray
from . import simulator
from .recording import Recorder
import brian2
ms = brian2.ms
mV = brian2.mV
class Assembly(common.Assembly):
_simulator = simulator
class PopulationMixin(object):
def _get_parameters(self, *names):
"""
Return a ParameterSpace containing PyNN parameters
`names` should be PyNN names
"""
def _get_component_parameters(component, names, component_label=None):
kwargs = {}
if component_label:
kwargs["suffix"] = component_label
if component.computed_parameters_include(names):
# need all parameters in order to calculate values
native_names = component.get_native_names(**kwargs)
else:
native_names = component.get_native_names(*names, **kwargs)
native_parameter_space = self._get_native_parameters(*native_names)
if component_label:
ps = component.reverse_translate(native_parameter_space, suffix=component_label)
else:
ps = component.reverse_translate(native_parameter_space)
# extract values for this component from any ArrayParameters
for name, value in ps.items():
if isinstance(value.base_value, ArrayParameter):
index = self.celltype.receptor_types.index(component_label)
ps[name] = LazyArray(value.base_value[index])
ps[name].operations = value.operations
return ps
if isinstance(self.celltype, StandardCellType):
if any("." in name for name in names):
names_by_component = defaultdict(list)
for name in names:
parts = name.split(".")
if len(parts) == 1:
names_by_component["neuron"].append(parts[0])
elif len(parts) == 2:
names_by_component[parts[0]].append(parts[1])
else:
raise ValueError("Invalid name: {}".format(name))
if "neuron" in names_by_component:
parameter_space = _get_component_parameters(self.celltype.neuron,
names_by_component.pop("neuron"))
else:
parameter_space = ParameterSpace({})
for component_label, names in names_by_component.items():
parameter_space[component_label] = _get_component_parameters(
self.celltype.post_synaptic_receptors[component_label],
names_by_component[component_label],
component_label)
else:
parameter_space = _get_component_parameters(self.celltype, names)
else:
parameter_space = self._get_native_parameters(*names)
return parameter_space
class PopulationView(common.PopulationView, PopulationMixin):
_assembly_class = Assembly
_simulator = simulator
def _get_parameters(self, *names):
if isinstance(self.celltype, StandardCellType):
if any(name in self.celltype.computed_parameters() for name in names):
# need all parameters in order to calculate values
native_names = self.celltype.get_native_names()
else:
native_names = self.celltype.get_native_names(*names)
native_parameter_space = self._get_native_parameters(*native_names)
parameter_space = self.celltype.reverse_translate(native_parameter_space)
else:
parameter_space = self._get_native_parameters(*native_names)
return parameter_space
def _get_native_parameters(self, *names):
"""
return a ParameterSpace containing native parameters
"""
parameter_dict = {}
for name in names:
value = getattr(self.brian2_group, name)
if hasattr(value, "shape") and value.shape:
value = value[self.mask]
parameter_dict[name] = simplify(value)
return ParameterSpace(parameter_dict, shape=(self.size,))
def _set_parameters(self, parameter_space):
"""parameter_space should contain native parameters"""
parameter_space.evaluate(simplify=False)
for name, value in parameter_space.items():
if name == "spike_time_sequences":
self.brian2_group._set_spike_time_sequences(value, self.mask)
elif name == "tau_refrac": # cannot be heterogeneous
self.tau_refrac = value
else:
getattr(self.brian2_group, name)[self.mask] = value
def _set_initial_value_array(self, variable, initial_values):
raise NotImplementedError
def _get_view(self, selector, label=None):
return PopulationView(self, selector, label)
@property
def brian2_group(self):
return self.parent.brian2_group
class Population(common.Population, PopulationMixin):
__doc__ = common.Population.__doc__
_simulator = simulator
_recorder_class = Recorder
_assembly_class = Assembly
def _create_cells(self):
id_range = np.arange(simulator.state.id_counter,
simulator.state.id_counter + self.size)
self.all_cells = np.array([simulator.ID(id) for id in id_range],
dtype=simulator.ID)
# all cells are local. This doesn't seem very efficient.
self._mask_local = np.ones((self.size,), bool)
if isinstance(self.celltype, StandardCellType):
parameter_space = self.celltype.native_parameters
else:
parameter_space = self.celltype.parameter_space
parameter_space.shape = (self.size,)
parameter_space.evaluate(simplify=False)
parameter_space.flatten(with_prefix=False)
self.brian2_group = self.celltype.brian2_model(self.size,
self.celltype.eqs,
**parameter_space)
for id in self.all_cells:
id.parent = self
simulator.state.id_counter += self.size
simulator.state.network.add(self.brian2_group)
def _set_initial_value_array(self, variable, value):
D = self.celltype.state_variable_translations[variable]
pname = D['translated_name']
if callable(D['forward_transform']):
pval = D['forward_transform'](**{variable: value})
else:
pval = eval(D['forward_transform'], globals(), {variable: value})
pval = pval.evaluate(simplify=False)
self.brian2_group.initial_values[pname] = pval
self.brian2_group.initialize()
def _get_view(self, selector, label=None):
return PopulationView(self, selector, label)
def _get_native_parameters(self, *names):
"""
return a ParameterSpace containing native parameters
"""
parameter_dict = {}
for name in names:
value = getattr(self.brian2_group, name)
if hasattr(value, "shape") and value.shape != ():
value = value[:]
parameter_dict[name] = value
return ParameterSpace(parameter_dict, shape=(self.size,))
def _set_parameters(self, parameter_space):
"""parameter_space should contain native parameters"""
parameter_space.evaluate(simplify=False)
for name, value in parameter_space.items():
if (name == "tau_refrac"):
value = simplify(value)
self.brian2_group.tau_refrac = value
elif (name == "v_reset"):
value = simplify(value)
self.brian2_group.v_reset = value
else:
setattr(self.brian2_group, name, value)