def __init__(
self, n_neurons,
spikes_per_second=_apv_defs['spikes_per_second'],
ring_buffer_sigma=_apv_defs['ring_buffer_sigma'],
incoming_spike_buffer_size=_apv_defs['incoming_spike_buffer_size'],
constraints=_apv_defs['constraints'],
label=_apv_defs['label'],
a=default_parameters['a'], b=default_parameters['b'],
c=default_parameters['c'], d=default_parameters['d'],
i_offset=default_parameters['i_offset'],
u_init=initialize_parameters['u_init'],
v_init=initialize_parameters['v_init'],
tau_syn_E=default_parameters['tau_syn_E'],
tau_syn_I=default_parameters['tau_syn_I'],
isyn_exc=default_parameters['isyn_exc'],
isyn_inh=default_parameters['isyn_inh']):
# pylint: disable=too-many-arguments, too-many-locals
neuron_model = NeuronModelIzh(
n_neurons, a, b, c, d, v_init, u_init, i_offset)
synapse_type = SynapseTypeExponential(
n_neurons, tau_syn_E, tau_syn_I, isyn_exc, isyn_inh)
input_type = InputTypeCurrent()
threshold_type = ThresholdTypeStatic(n_neurons, _IZK_THRESHOLD)
super(IzkCurrExpBase, self).__init__(
n_neurons=n_neurons, binary="IZK_curr_exp.aplx", label=label,
max_atoms_per_core=IzkCurrExpBase._model_based_max_atoms_per_core,
spikes_per_second=spikes_per_second,
ring_buffer_sigma=ring_buffer_sigma,
incoming_spike_buffer_size=incoming_spike_buffer_size,
model_name="IZK_curr_exp", neuron_model=neuron_model,
input_type=input_type, synapse_type=synapse_type,
threshold_type=threshold_type, constraints=constraints)
def __init__(self,
a=0.02,
b=0.2,
c=-65.0,
d=2.0,
i_offset=0.0,
u=-14.0,
v=-70.0,
tau_syn_E=5.0,
tau_syn_I=5.0,
e_rev_E=0.0,
e_rev_I=-70.0,
isyn_exc=0.0,
isyn_inh=0.0):
# pylint: disable=too-many-arguments, too-many-locals
neuron_model = NeuronModelIzh(a, b, c, d, v, u, i_offset)
synapse_type = SynapseTypeExponential(tau_syn_E, tau_syn_I, isyn_exc,
isyn_inh)
input_type = InputTypeConductance(e_rev_E, e_rev_I)
threshold_type = ThresholdTypeStatic(_IZK_THRESHOLD)
super().__init__(model_name="IZK_cond_exp",
binary="IZK_cond_exp.aplx",
neuron_model=neuron_model,
input_type=input_type,
synapse_type=synapse_type,
threshold_type=threshold_type)