sort default parameters more intuitively
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@ -3,23 +3,24 @@ from stimuli.AbstractStimulus import AbstractStimulus
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from models.AbstractModel import AbstractModel
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import numpy as np
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import helperFunctions as hf
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from numba import jit
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class LifacNoiseModel(AbstractModel):
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# all times in milliseconds
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# possible mem_res: 100 * 1000000
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# possible mem_res: 100 * 1000000 exact value unknown in p-units
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DEFAULT_VALUES = {"mem_tau": 20,
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"v_base": 0,
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"v_zero": -1,
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"v_zero": 0,
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"threshold": 1,
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"step_size": 0.01,
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"delta_a": 0.4,
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"tau_a": 40,
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"a_zero": 30,
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"v_offset": 50,
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"input_scaling": 1,
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"noise_strength": 3}
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# membrane time constant tau = mem_cap*mem_res
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"delta_a": 0.4,
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"tau_a": 40,
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"a_zero": 0,
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"noise_strength": 3,
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"step_size": 0.01}
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def __init__(self, params: dict = None):
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super().__init__(params)
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