args = [
1, # tauI - useless for this optimisation
300, # wI - useless for this optimisation
G_TL2, # neuron group to optimise
S_P_HEADING_TL2, # synapses to optimise
P_TL2, # target population
T_outbound * time_step * ms, # simulation time
defaultclock.dt, # simulation time step
delta, # time window for gamma factor
rate_correction # apply rate correction to gamma factor
]
# Set instruments
instruments = ng_optimiser.set_instrumentation(bounds, args)
optim = ng_optimiser.set_optimiser(instruments,
method='TwoPointsDE',
budget=1000)
optim_min, recommendation = ng_optimiser.run_optimiser(optim,
run_simulation_TL2,
verbosity=2)
candidate = optim_min.provide_recommendation()
print(candidate.args)
######################################
### TEST
######################################
start_scope()
args = [
1, # tauI - useless for this optimisation
300, # wI - useless for this optimisation
G_TL2, # neuron group to optimise
S_P_HEADING_TL2, # synapses to optimise
P_TL2, # target population
T_outbound * time_step * ms, # simulation time
defaultclock.dt, # simulation time step
delta, # time window for gamma factor
rate_correction # apply rate correction to gamma factor
]
# Set instruments
instruments = ng_optimiser.set_instrumentation(bounds, args)
optim = ng_optimiser.set_optimiser(instruments, method='DE', budget=300)
optim_min, recommendation = ng_optimiser.run_optimiser(optim,
run_simulation_TL2,
verbosity=2)
candidate = optim_min.provide_recommendation()
print(candidate.args)
######################################
### TEST
######################################
start_scope()
args = [
1, # tauI - useless for this optimisation
300, # wI - useless for this optimisation
G_CL1, # neuron group to optimise
S_TL2_CL1, # synapses to optimise
P_CL1, # target population
T_outbound * time_step * ms, # simulation time
defaultclock.dt, # simulation time step
delta, # time window for gamma factor
rate_correction # apply rate correction to gamma factor
]
# Set instruments
instruments = ng_optimiser.set_instrumentation(bounds, args)
optim = ng_optimiser.set_optimiser(instruments, method=method, budget=budget)
optim_min, recommendation = ng_optimiser.run_optimiser(optim,
run_simulation_CL1,
verbosity=2)
candidate = optim_min.provide_recommendation()
print(candidate.args)
######################################
### TEST
######################################
start_scope()