started the creation of a model interface and a dataparser for models

models/AbstractModel.py

@@ -0,0 +1,9 @@
+
+
+class AbstractModel:
+
+    # TODO what information about the model does the ModelParser need to be able to simulate the right kind of data
+    # for further analysis in cell_data/fi_curve etc.
+
+    def min_stimulus_strength_to_spike(self):
+        raise NotImplementedError("NOT IMPLEMENTED")

models/LIFAC.py

@@ -1,9 +1,10 @@
 
 from stimuli.AbstractStimulus import AbstractStimulus
+from models.AbstractModel import AbstractModel
 import numpy as np
 
 
-class LIFACModel:
+class LIFACModel(AbstractModel):
     # all times in milliseconds
     KEYS = ["mem_res", "mem_tau", "v_base", "v_zero", "threshold", "step_size", "delta_a", "tau_a"]
     VALUES = [100 * 1000000, 0.1 * 200, 0, 0, 10, 0.01, 1, 200]