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41 lines
1.1 KiB
41 lines
1.1 KiB
2 years ago
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import numpy as np
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from neuron import h
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from cnmodel.util import reset
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def test_max_open_probability():
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reset(
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raiseError=False
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) # reset() fails as unable to remove all neuron objects, unless we ignore the error
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sec = h.Section()
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# Create AMPA and NMDA mechanisms
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# AMPA uses mode=0; no rectification
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apsd = h.AMPATRUSSELL(0.5, sec=sec)
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# For NMDA we will hold the cell at +40 mV
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npsd = h.NMDA_Kampa(0.5, sec=sec)
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# And a presynaptic terminal to provide XMTR input
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term = h.MultiSiteSynapse(0.5, sec=sec)
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term.nZones = 1
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h.setpointer(term._ref_XMTR[0], "XMTR", apsd)
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h.setpointer(term._ref_XMTR[0], "XMTR", npsd)
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h.celsius = 34.0
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h.finitialize()
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op = [[], []]
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for i in range(100):
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# force very high transmitter concentration for every timestep
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term.XMTR[0] = 10000
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sec.v = 40.0
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h.fadvance()
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op[0].append(apsd.Open)
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op[1].append(npsd.Open)
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assert np.allclose(max(op[0]), apsd.MaxOpen)
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assert np.allclose(max(op[1]), npsd.MaxOpen)
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if __name__ == "__main__":
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test_max_open_probability()
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