def __init__(self, n_neurons, machine_time_step, primary, v_init=-70.0):
AbstractNeuronModel.__init__(self)
self._n_neurons = n_neurons
self._machine_time_step = machine_time_step
self._primary = utility_calls.convert_param_to_numpy(
primary, n_neurons)
self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
def __init__(self, n_neurons, machine_time_step, a, b, c, d, v_init,
u_init, i_offset):
AbstractNeuronModel.__init__(self)
self._n_neurons = n_neurons
self._machine_time_step = machine_time_step
self._a = utility_calls.convert_param_to_numpy(a, n_neurons)
self._b = utility_calls.convert_param_to_numpy(b, n_neurons)
self._c = utility_calls.convert_param_to_numpy(c, n_neurons)
self._d = utility_calls.convert_param_to_numpy(d, n_neurons)
self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
self._u_init = utility_calls.convert_param_to_numpy(u_init, n_neurons)
self._i_offset = utility_calls.convert_param_to_numpy(
i_offset, n_neurons)
def __init__(self, n_neurons, machine_time_step, v_init, v_rest, tau_m, cm,
i_offset):
AbstractNeuronModel.__init__(self)
self._n_neurons = n_neurons
self._machine_time_step = machine_time_step
self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
self._v_rest = utility_calls.convert_param_to_numpy(v_rest, n_neurons)
self._tau_m = utility_calls.convert_param_to_numpy(tau_m, n_neurons)
self._cm = utility_calls.convert_param_to_numpy(cm, n_neurons)
self._i_offset = utility_calls.convert_param_to_numpy(
i_offset, n_neurons)
if v_init is None:
self._v_init = v_rest
def __init__(self, n_neurons, machine_time_step, v_init, v_rest, tau_m, cm,
i_offset):
AbstractNeuronModel.__init__(self)
self._n_neurons = n_neurons
self._machine_time_step = machine_time_step
self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
self._v_rest = utility_calls.convert_param_to_numpy(v_rest, n_neurons)
self._tau_m = utility_calls.convert_param_to_numpy(tau_m, n_neurons)
self._cm = utility_calls.convert_param_to_numpy(cm, n_neurons)
self._i_offset = utility_calls.convert_param_to_numpy(
i_offset, n_neurons)
if v_init is None:
self._v_init = v_rest
def __init__(
self, n_neurons,
# TODO: update the parameters
i_offset, my_neuron_parameter,
# TODO: update the state variables if required
v_init=-70.0):
AbstractNeuronModel.__init__(self)
self._n_neurons = n_neurons
# TODO: Store any parameters
self._i_offset = utility_calls.convert_param_to_numpy(
i_offset, n_neurons)
self._my_neuron_parameter = utility_calls.convert_param_to_numpy(
my_neuron_parameter, n_neurons)
# TODO: Store any state variables
self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
def __init__(self, n_neurons, v_init, v_rest, tau_m, cm, i_offset):
AbstractNeuronModel.__init__(self)
AbstractContainsUnits.__init__(self)
self._units = {
'v_init': 'mV',
'v_rest': 'mV',
'tau_m': 'ms',
'cm': 'nF',
'i_offset': 'nA'
}
self._n_neurons = n_neurons
self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
self._v_rest = utility_calls.convert_param_to_numpy(v_rest, n_neurons)
self._tau_m = utility_calls.convert_param_to_numpy(tau_m, n_neurons)
self._cm = utility_calls.convert_param_to_numpy(cm, n_neurons)
self._i_offset = utility_calls.convert_param_to_numpy(
i_offset, n_neurons)
if v_init is None:
self._v_init = self._v_rest
def __init__(self, n_neurons, a, b, c, d, v_init, u_init, i_offset):
AbstractNeuronModel.__init__(self)
AbstractContainsUnits.__init__(self)
self._units = {
'a': "ms",
'b': "ms",
'c': "mV",
'd': "mV/ms",
'v_init': "mV",
'u_init': "mV/ms",
'i_offset': "nA"
}
self._n_neurons = n_neurons
self._a = utility_calls.convert_param_to_numpy(a, n_neurons)
self._b = utility_calls.convert_param_to_numpy(b, n_neurons)
self._c = utility_calls.convert_param_to_numpy(c, n_neurons)
self._d = utility_calls.convert_param_to_numpy(d, n_neurons)
self._v_init = utility_calls.convert_param_to_numpy(v_init, n_neurons)
self._u_init = utility_calls.convert_param_to_numpy(u_init, n_neurons)
self._i_offset = utility_calls.convert_param_to_numpy(
i_offset, n_neurons)