def simulate(self,
steps,
time,
stimulus,
solution=solve_type.RK4,
collect_dynamic=True):
"""!
@brief Performs static simulation of LEGION oscillatory network.
@param[in] steps (uint): Number steps of simulations during simulation.
@param[in] time (double): Time of simulation.
@param[in] stimulus (list): Stimulus for oscillators, number of stimulus should be equal to number of oscillators,
example of stimulus for 5 oscillators [0, 0, 1, 1, 0], value of stimulus is defined by parameter 'I'.
@param[in] solution (solve_type): Method that is used for differential equation.
@param[in] collect_dynamic (bool): If True - returns whole dynamic of oscillatory network, otherwise returns only last values of dynamics.
@return (list) Dynamic of oscillatory network. If argument 'collect_dynamic' = True, than return dynamic for the whole simulation time,
otherwise returns only last values (last step of simulation) of dynamic.
"""
if self.__ccore_legion_pointer is not None:
pointer_dynamic = wrapper.legion_simulate(
self.__ccore_legion_pointer, steps, time, solution,
collect_dynamic, stimulus)
return legion_dynamic(None, None, None, pointer_dynamic)
# Check solver before simulation
if solution == solve_type.FAST:
raise NameError(
"Solver FAST is not support due to low accuracy that leads to huge error."
)
elif solution == solve_type.RKF45:
raise NameError(
"Solver RKF45 is not support in python version. RKF45 is supported in CCORE implementation."
)
# set stimulus
self.__create_stimulus(stimulus)
# calculate dynamic weights
self.__create_dynamic_connections()
dyn_exc = None
dyn_time = None
dyn_ginh = None
# Store only excitatory of the oscillator
if collect_dynamic is True:
dyn_exc = []
dyn_time = []
dyn_ginh = []
step = time / steps
int_step = step / 10.0
for t in numpy.arange(step, time + step, step):
# update states of oscillators
self._calculate_states(solution, t, step, int_step)
# update states of oscillators
if collect_dynamic is True:
dyn_exc.append(self._excitatory)
dyn_time.append(t)
dyn_ginh.append(self._global_inhibitor)
else:
dyn_exc = self._excitatory
dyn_time = t
dyn_ginh = self._global_inhibitor
return legion_dynamic(dyn_exc, dyn_ginh, dyn_time)
def simulate(self, steps, time, stimulus, solution = solve_type.RK4, collect_dynamic = True):
"""!
@brief Performs static simulation of LEGION oscillatory network.
@param[in] steps (uint): Number steps of simulations during simulation.
@param[in] time (double): Time of simulation.
@param[in] stimulus (list): Stimulus for oscillators, number of stimulus should be equal to number of oscillators,
example of stimulus for 5 oscillators [0, 0, 1, 1, 0], value of stimulus is defined by parameter 'I'.
@param[in] solution (solve_type): Type of solution (solving).
@param[in] collect_dynamic (bool): If True - returns whole dynamic of oscillatory network, otherwise returns only last values of dynamics.
@return (list) Dynamic of oscillatory network. If argument 'collect_dynamic' = True, than return dynamic for the whole simulation time,
otherwise returns only last values (last step of simulation) of dynamic.
"""
if (self.__ccore_legion_pointer is not None):
pointer_dynamic = wrapper.legion_simulate(self.__ccore_legion_pointer, steps, time, solution, collect_dynamic, stimulus);
return legion_dynamic(None, None, None, pointer_dynamic);
# Check solver before simulation
if (solution == solve_type.FAST):
raise NameError("Solver FAST is not support due to low accuracy that leads to huge error.");
elif (solution == solve_type.RKF45):
raise NameError("Solver RKF45 is not support in python version. RKF45 is supported in CCORE implementation.");
# set stimulus
self.__create_stimulus(stimulus);
# calculate dynamic weights
self.__create_dynamic_connections();
dyn_exc = None;
dyn_time = None;
dyn_ginh = None;
# Store only excitatory of the oscillator
if (collect_dynamic == True):
dyn_exc = [];
dyn_time = [];
dyn_ginh = [];
step = time / steps;
int_step = step / 10.0;
for t in numpy.arange(step, time + step, step):
# update states of oscillators
self._calculate_states(solution, t, step, int_step);
# update states of oscillators
if (collect_dynamic == True):
dyn_exc.append(self._excitatory);
dyn_time.append(t);
dyn_ginh.append(self._global_inhibitor);
else:
dyn_exc = self._excitatory;
dyn_time = t;
dyn_ginh = self._global_inhibitor;
return legion_dynamic(dyn_exc, dyn_ginh, dyn_time);