Alexander/P-unit_model
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remove parameter functions -> move to abstract class

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a.ott 2020-01-24 13:35:11 +01:00
parent d274f19f3c
commit 357c09d3dd
1 changed files with 0 additions and 29 deletions
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29
models/LIFAC.py
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@ -60,35 +60,6 @@ class LIFACModel(AbstractModel):
step_size = self.parameters["step_size"] step_size = self.parameters["step_size"]
return current_a + (step_size * (-current_a)) / self.parameters["tau_a"] return current_a + (step_size * (-current_a)) / self.parameters["tau_a"]
def set_parameters(self, params):
self._test_given_parameters(params)
for k in params.keys():
self.parameters[k] = params[k]
for i in range(len(self.KEYS)):
if self.KEYS[i] not in self.parameters.keys():
self.parameters[self.KEYS[i]] = self.VALUES[i]
def get_parameters(self):
return self.parameters
def set_variable(self, key, value):
if key not in self.KEYS:
raise ValueError("Given key is unknown!\n"
"Please check spelling and refer to list LIFAC.KEYS.")
self.parameters[key] = value
def _set_default_parameters(self):
for i in range(len(self.KEYS)):
self.parameters[self.KEYS[i]] = self.VALUES[i]
def _test_given_parameters(self, params):
for k in params.keys():
if k not in self.KEYS:
err_msg = "Unknown key in the given parameters:" + str(k)
raise ValueError(err_msg)
def min_stimulus_strength_to_spike(self): def min_stimulus_strength_to_spike(self):
return self.parameters["threshold"] - self.parameters["v_base"] return self.parameters["threshold"] - self.parameters["v_base"]