def configure(self,
neurons,
lif=True,
saturation_range=(200, 300),
t_ref=0.001,
t_rc=0.01,
J_threshold=1,
activation_noise=0.1,
apply_noise=True,
threshold_coverage=0.9,
threshold_min=None,
threshold_max=None,
basis_style='Sphere',
sample_style='DefaultSampling',
sample_count=None,
seed=None,
code=None,
force_new=False,
use_hd=False,
basis=None,
thresholds=None,
saturations=None):
self.neurons = neurons
self.lif = lif
self.saturation_range = saturation_range
self.t_ref = t_ref
self.t_rc = t_rc
self.J_threshold = J_threshold
self.basis_style = basis_style
self.sample_style = sample_style
self.threshold_coverage = threshold_coverage
self.threshold_min = threshold_min
self.threshold_max = threshold_max
if sample_count is None: sample_count = self.dimensions * 500
self.sample_count = sample_count
self.activation_noise = activation_noise
self.apply_noise = apply_noise
self.decoders = {}
self.use_hd = use_hd
self.data_basis = basis
self.data_thresholds = thresholds
self.data_saturations = saturations
self.storage = Storage(self, seed=seed, code=code, force_new=force_new)
self.seed = self.storage.seed
self.initialize_node()
self.mode = 'rate'
