|
| 1 | +# -*- coding: utf-8 -*- |
| 2 | + |
| 3 | + |
| 4 | +import brainpy as bp |
| 5 | +import brainpy.math as bm |
| 6 | +from absl.testing import parameterized |
| 7 | +from brainpy._src.channels import Ca |
| 8 | + |
| 9 | +class Test_Ca(parameterized.TestCase): |
| 10 | + def test_Ca(self): |
| 11 | + bm.random.seed(1234) |
| 12 | + class Neuron(bp.CondNeuGroup): |
| 13 | + def __init__(self, size): |
| 14 | + super(Neuron, self).__init__(size) |
| 15 | + self.Ca1 = Ca.CalciumFixed(size) |
| 16 | + self.Ca2 = Ca.CalciumDetailed(size) |
| 17 | + self.Ca3 = Ca.CalciumFirstOrder(size) |
| 18 | + |
| 19 | + model = Neuron(1) |
| 20 | + runner = bp.DSRunner(model, |
| 21 | + monitors=['V', 'Ca2.C', 'Ca3.C'], |
| 22 | + progress_bar=False) |
| 23 | + runner.run(10.) |
| 24 | + self.assertTupleEqual(runner.mon['V'].shape, (100, 1)) |
| 25 | + self.assertTupleEqual(runner.mon['Ca2.C'].shape, (100, 1)) |
| 26 | + self.assertTupleEqual(runner.mon['Ca3.C'].shape, (100, 1)) |
| 27 | + |
| 28 | + def test_ICaN_IS2008(self): |
| 29 | + bm.random.seed(1234) |
| 30 | + class Neuron(bp.CondNeuGroup): |
| 31 | + def __init__(self, size): |
| 32 | + super(Neuron, self).__init__(size) |
| 33 | + self.Ca = Ca.CalciumDetailed(size, |
| 34 | + ICa=Ca.ICaN_IS2008(size), |
| 35 | + ) |
| 36 | + |
| 37 | + model = Neuron(1) |
| 38 | + runner = bp.DSRunner(model, |
| 39 | + monitors=['V', 'Ca.ICa.p'], |
| 40 | + progress_bar=False) |
| 41 | + runner.run(10.) |
| 42 | + self.assertTupleEqual(runner.mon['V'].shape, (100, 1)) |
| 43 | + self.assertTupleEqual(runner.mon['Ca.ICa.p'].shape, (100, 1)) |
| 44 | + |
| 45 | + def test_ICaT_HM1992(self): |
| 46 | + bm.random.seed(1234) |
| 47 | + class Neuron(bp.CondNeuGroup): |
| 48 | + def __init__(self, size): |
| 49 | + super(Neuron, self).__init__(size) |
| 50 | + self.Ca = Ca.CalciumDetailed(size, |
| 51 | + ICa=Ca.ICaT_HM1992(size), |
| 52 | + ) |
| 53 | + |
| 54 | + model = Neuron(1) |
| 55 | + runner = bp.DSRunner(model, |
| 56 | + monitors=['V', |
| 57 | + 'Ca.ICa.p', |
| 58 | + ], |
| 59 | + progress_bar=False) |
| 60 | + runner.run(10.) |
| 61 | + self.assertTupleEqual(runner.mon['V'].shape, (100, 1)) |
| 62 | + self.assertTupleEqual(runner.mon['Ca.ICa.p'].shape, (100, 1)) |
| 63 | + |
| 64 | + def test_ICaT_HP1992(self): |
| 65 | + bm.random.seed(1234) |
| 66 | + class Neuron(bp.CondNeuGroup): |
| 67 | + def __init__(self, size): |
| 68 | + super(Neuron, self).__init__(size) |
| 69 | + self.Ca = Ca.CalciumDetailed(size, |
| 70 | + ICa=Ca.ICaT_HP1992(size), |
| 71 | + ) |
| 72 | + |
| 73 | + model = Neuron(1) |
| 74 | + runner = bp.DSRunner(model, |
| 75 | + monitors=['V', |
| 76 | + 'Ca.ICa.p', |
| 77 | + ], |
| 78 | + progress_bar=False) |
| 79 | + runner.run(10.) |
| 80 | + self.assertTupleEqual(runner.mon['V'].shape, (100, 1)) |
| 81 | + self.assertTupleEqual(runner.mon['Ca.ICa.p'].shape, (100, 1)) |
| 82 | + |
| 83 | + def test_ICaHT_HM1992(self): |
| 84 | + bm.random.seed(1234) |
| 85 | + class Neuron(bp.CondNeuGroup): |
| 86 | + def __init__(self, size): |
| 87 | + super(Neuron, self).__init__(size) |
| 88 | + self.Ca = Ca.CalciumDetailed(size, |
| 89 | + ICa=Ca.ICaHT_HM1992(size), |
| 90 | + ) |
| 91 | + |
| 92 | + model = Neuron(1) |
| 93 | + runner = bp.DSRunner(model, |
| 94 | + monitors=['V', |
| 95 | + 'Ca.ICa.p', |
| 96 | + ], |
| 97 | + progress_bar=False) |
| 98 | + runner.run(10.) |
| 99 | + self.assertTupleEqual(runner.mon['V'].shape, (100, 1)) |
| 100 | + self.assertTupleEqual(runner.mon['Ca.ICa.p'].shape, (100, 1)) |
| 101 | + |
| 102 | + def test_ICaHT_Re1993(self): |
| 103 | + bm.random.seed(1234) |
| 104 | + class Neuron(bp.CondNeuGroup): |
| 105 | + def __init__(self, size): |
| 106 | + super(Neuron, self).__init__(size) |
| 107 | + self.Ca = Ca.CalciumDetailed(size, |
| 108 | + ICa=Ca.ICaHT_Re1993(size), |
| 109 | + ) |
| 110 | + |
| 111 | + model = Neuron(1) |
| 112 | + runner = bp.DSRunner(model, |
| 113 | + monitors=['V', |
| 114 | + 'Ca.ICa.p', |
| 115 | + ], |
| 116 | + progress_bar=False) |
| 117 | + runner.run(10.) |
| 118 | + self.assertTupleEqual(runner.mon['V'].shape, (100, 1)) |
| 119 | + self.assertTupleEqual(runner.mon['Ca.ICa.p'].shape, (100, 1)) |
| 120 | + |
| 121 | + def test_ICaL_IS2008(self): |
| 122 | + bm.random.seed(1234) |
| 123 | + class Neuron(bp.CondNeuGroup): |
| 124 | + def __init__(self, size): |
| 125 | + super(Neuron, self).__init__(size) |
| 126 | + self.Ca = Ca.CalciumDetailed(size, |
| 127 | + ICa=Ca.ICaL_IS2008(size), |
| 128 | + ) |
| 129 | + |
| 130 | + model = Neuron(1) |
| 131 | + runner = bp.DSRunner(model, |
| 132 | + monitors=['V', |
| 133 | + 'Ca.ICa.p', |
| 134 | + ], |
| 135 | + progress_bar=False) |
| 136 | + runner.run(10.) |
| 137 | + self.assertTupleEqual(runner.mon['V'].shape, (100, 1)) |
| 138 | + self.assertTupleEqual(runner.mon['Ca.ICa.p'].shape, (100, 1)) |
0 commit comments