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add factor to adaption step to make it independent of tau_a

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a.ott 2020-01-20 16:21:37 +01:00
parent 4928fedc4e
commit 6cd4e13da4
1 changed files with 4 additions and 3 deletions
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7
models/LIFAC.py
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@ -6,8 +6,9 @@ import numpy as np
class LIFACModel(AbstractModel): class LIFACModel(AbstractModel):
# all times in milliseconds # all times in milliseconds
KEYS = ["mem_res", "mem_tau", "v_base", "v_zero", "threshold", "step_size", "delta_a", "tau_a"] # possible mem_res: 100 * 1000000
VALUES = [100 * 1000000, 0.1 * 200, 0, 0, 10, 0.01, 1, 20] KEYS = ["mem_tau", "v_base", "v_zero", "threshold", "step_size", "delta_a", "tau_a"]
VALUES = [0.1 * 200, 0, 0, 10, 0.01, 1, 20]
# membrane time constant tau = mem_cap*mem_res # membrane time constant tau = mem_cap*mem_res
def __init__(self, params: dict = None): def __init__(self, params: dict = None):
@ -34,7 +35,7 @@ class LIFACModel(AbstractModel):
if v_next > self.parameters["threshold"]: if v_next > self.parameters["threshold"]:
v_next = self.parameters["v_base"] v_next = self.parameters["v_base"]
spiketimes.append(time_point/1000) spiketimes.append(time_point/1000)
a_next += self.parameters["delta_a"] a_next += self.parameters["delta_a"] / (self.parameters["tau_a"] / 1000)
output_voltage.append(v_next) output_voltage.append(v_next)
adaption.append(a_next) adaption.append(a_next)