本文整理汇总了Python中mne.minimum_norm.inverse.apply_inverse_raw函数的典型用法代码示例。如果您正苦于以下问题：Python apply_inverse_raw函数的具体用法？Python apply_inverse_raw怎么用？Python apply_inverse_raw使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了apply_inverse_raw函数的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。
示例1: test_apply_mne_inverse_raw
def test_apply_mne_inverse_raw(self):
"""Test MNE with precomputed inverse operator on Raw
"""
start = 3
stop = 10
_, times = raw[0, start:stop]
for pick_normal in [False, True]:
stc = apply_inverse_raw(raw, self.inv_op, lambda2, "dSPM",
label=label_lh, start=start, stop=stop,
nave=1, pick_normal=pick_normal,
buffer_size=None)
stc2 = apply_inverse_raw(raw, self.inv_op, lambda2, "dSPM",
label=label_lh, start=start, stop=stop,
nave=1, pick_normal=pick_normal,
buffer_size=3)
if not pick_normal:
assert_true(np.all(stc.data > 0))
assert_true(np.all(stc2.data > 0))
assert_array_almost_equal(stc.times, times)
assert_array_almost_equal(stc2.times, times)
assert_array_almost_equal(stc.data, stc2.data)
开发者ID:mshamalainen，项目名称:mne-python，代码行数:25，代码来源:test_inverse.py
示例2: test_apply_mne_inverse_raw
def test_apply_mne_inverse_raw():
"""Test MNE with precomputed inverse operator on Raw."""
start = 3
stop = 10
raw = read_raw_fif(fname_raw)
label_lh = read_label(fname_label % 'Aud-lh')
_, times = raw[0, start:stop]
inverse_operator = read_inverse_operator(fname_full)
inverse_operator = prepare_inverse_operator(inverse_operator, nave=1,
lambda2=lambda2, method="dSPM")
for pick_ori in [None, "normal", "vector"]:
stc = apply_inverse_raw(raw, inverse_operator, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_ori=pick_ori, buffer_size=None,
prepared=True)
stc2 = apply_inverse_raw(raw, inverse_operator, lambda2, "dSPM",
label=label_lh, start=start, stop=stop,
nave=1, pick_ori=pick_ori,
buffer_size=3, prepared=True)
if pick_ori is None:
assert_true(np.all(stc.data > 0))
assert_true(np.all(stc2.data > 0))
assert_true(stc.subject == 'sample')
assert_true(stc2.subject == 'sample')
assert_array_almost_equal(stc.times, times)
assert_array_almost_equal(stc2.times, times)
assert_array_almost_equal(stc.data, stc2.data)
开发者ID:claire-braboszcz，项目名称:mne-python，代码行数:30，代码来源:test_inverse.py
示例3: test_apply_mne_inverse_fixed_raw
def test_apply_mne_inverse_fixed_raw():
"""Test MNE with fixed-orientation inverse operator on Raw
"""
raw = fiff.Raw(fname_raw)
start = 3
stop = 10
_, times = raw[0, start:stop]
label_lh = read_label(fname_label % 'Aud-lh')
# create a fixed-orientation inverse operator
fwd = read_forward_solution(fname_fwd, force_fixed=False, surf_ori=True)
noise_cov = read_cov(fname_cov)
inv_op = make_inverse_operator(raw.info, fwd, noise_cov,
loose=None, depth=0.8, fixed=True)
stc = apply_inverse_raw(raw, inv_op, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_ori=None, buffer_size=None)
stc2 = apply_inverse_raw(raw, inv_op, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_ori=None, buffer_size=3)
assert_true(stc.subject == 'sample')
assert_true(stc2.subject == 'sample')
assert_array_almost_equal(stc.times, times)
assert_array_almost_equal(stc2.times, times)
assert_array_almost_equal(stc.data, stc2.data)
开发者ID:Anevar，项目名称:mne-python，代码行数:28，代码来源:test_inverse.py
示例4: test_apply_mne_inverse_raw
def test_apply_mne_inverse_raw():
"""Test MNE with precomputed inverse operator on Raw
"""
start = 3
stop = 10
_, times = raw[0, start:stop]
for pick_ori in [None, "normal"]:
stc = apply_inverse_raw(raw, inverse_operator, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_ori=pick_ori, buffer_size=None)
stc2 = apply_inverse_raw(raw, inverse_operator, lambda2, "dSPM",
label=label_lh, start=start, stop=stop,
nave=1, pick_ori=pick_ori,
buffer_size=3)
if pick_ori == None:
assert_true(np.all(stc.data > 0))
assert_true(np.all(stc2.data > 0))
assert_true(stc.subject == 'sample')
assert_true(stc2.subject == 'sample')
assert_array_almost_equal(stc.times, times)
assert_array_almost_equal(stc2.times, times)
assert_array_almost_equal(stc.data, stc2.data)
开发者ID:pauldelprato，项目名称:mne-python，代码行数:25，代码来源:test_inverse.py
示例5: test_inverse_ctf_comp
def test_inverse_ctf_comp():
"""Test interpolation with compensated CTF data."""
ctf_dir = op.join(testing.data_path(download=False), 'CTF')
raw_fname = op.join(ctf_dir, 'somMDYO-18av.ds')
raw = mne.io.read_raw_ctf(raw_fname)
raw.apply_gradient_compensation(1)
sphere = make_sphere_model()
cov = make_ad_hoc_cov(raw.info)
src = mne.setup_volume_source_space(
pos=dict(rr=[[0., 0., 0.01]], nn=[[0., 1., 0.]]))
fwd = make_forward_solution(raw.info, None, src, sphere, eeg=False)
inv = make_inverse_operator(raw.info, fwd, cov, loose=1.)
apply_inverse_raw(raw, inv, 1. / 9.)
开发者ID:teonbrooks，项目名称:mne-python，代码行数:13，代码来源:test_inverse.py
示例6: test_inverse_ctf_comp
def test_inverse_ctf_comp():
"""Test interpolation with compensated CTF data."""
raw = mne.io.read_raw_ctf(fname_raw_ctf).crop(0, 0)
raw.apply_gradient_compensation(1)
sphere = make_sphere_model()
cov = make_ad_hoc_cov(raw.info)
src = mne.setup_volume_source_space(
pos=dict(rr=[[0., 0., 0.01]], nn=[[0., 1., 0.]]))
fwd = make_forward_solution(raw.info, None, src, sphere, eeg=False)
raw.apply_gradient_compensation(0)
with pytest.raises(RuntimeError, match='compensation grade mismatch'):
make_inverse_operator(raw.info, fwd, cov, loose=1.)
raw.apply_gradient_compensation(1)
inv = make_inverse_operator(raw.info, fwd, cov, loose=1.)
apply_inverse_raw(raw, inv, 1. / 9.) # smoke test
raw.apply_gradient_compensation(0)
with pytest.raises(RuntimeError, match='compensation grade mismatch'):
apply_inverse_raw(raw, inv, 1. / 9.)
开发者ID:vibhaviswana，项目名称:mne-python，代码行数:18，代码来源:test_inverse.py
示例7: test_apply_mne_inverse_fixed_raw
def test_apply_mne_inverse_fixed_raw(self):
"""Test MNE with fixed-orientation inverse operator on Raw
"""
start = 3
stop = 10
_, times = raw[0, start:stop]
# create a fixed-orientation inverse operator
inv_op = make_inverse_operator(raw.info, self.fwd_op, noise_cov,
loose=None, depth=0.8, fixed=True)
stc = apply_inverse_raw(raw, inv_op, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_normal=False, buffer_size=None)
stc2 = apply_inverse_raw(raw, inv_op, lambda2, "dSPM",
label=label_lh, start=start, stop=stop,
nave=1, pick_normal=False, buffer_size=3)
assert_array_almost_equal(stc.times, times)
assert_array_almost_equal(stc2.times, times)
assert_array_almost_equal(stc.data, stc2.data)
开发者ID:mshamalainen，项目名称:mne-python，代码行数:22，代码来源:test_inverse.py
示例8: test_apply_mne_inverse_fixed_raw
def test_apply_mne_inverse_fixed_raw():
"""Test MNE with fixed-orientation inverse operator on Raw."""
raw = read_raw_fif(fname_raw)
start = 3
stop = 10
_, times = raw[0, start:stop]
label_lh = read_label(fname_label % 'Aud-lh')
# create a fixed-orientation inverse operator
fwd = read_forward_solution_meg(fname_fwd, force_fixed=False,
surf_ori=True)
noise_cov = read_cov(fname_cov)
assert_raises(ValueError, make_inverse_operator,
raw.info, fwd, noise_cov, loose=1., fixed=True)
inv_op = make_inverse_operator(raw.info, fwd, noise_cov,
fixed=True, use_cps=True)
inv_op2 = prepare_inverse_operator(inv_op, nave=1,
lambda2=lambda2, method="dSPM")
stc = apply_inverse_raw(raw, inv_op2, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_ori=None, buffer_size=None, prepared=True)
stc2 = apply_inverse_raw(raw, inv_op2, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_ori=None, buffer_size=3, prepared=True)
stc3 = apply_inverse_raw(raw, inv_op, lambda2, "dSPM",
label=label_lh, start=start, stop=stop, nave=1,
pick_ori=None, buffer_size=None)
assert_true(stc.subject == 'sample')
assert_true(stc2.subject == 'sample')
assert_array_almost_equal(stc.times, times)
assert_array_almost_equal(stc2.times, times)
assert_array_almost_equal(stc3.times, times)
assert_array_almost_equal(stc.data, stc2.data)
assert_array_almost_equal(stc.data, stc3.data)
开发者ID:claire-braboszcz，项目名称:mne-python，代码行数:38，代码来源:test_inverse.py
注：本文中的mne.minimum_norm.inverse.apply_inverse_raw函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
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