Index

A

AggregateGate() (in module pyntbci.gates) alpha_ (pyntbci.stopping.BayesStopping attribute)

avg_x_ (pyntbci.transformers.CCA attribute) avg_xy_ (pyntbci.transformers.CCA attribute) avg_y_ (pyntbci.transformers.CCA attribute)

B

b0_ (pyntbci.stopping.BayesStopping attribute)

b1_ (pyntbci.stopping.BayesStopping attribute) BayesStopping (class in pyntbci.stopping)

C

CCA (class in pyntbci.transformers) cca_ (pyntbci.classifiers.eCCA attribute) (pyntbci.classifiers.rCCA attribute) correct_latency() (in module pyntbci.utilities) correlation() (in module pyntbci.utilities)

cov_x_ (pyntbci.transformers.CCA attribute) cov_xy_ (pyntbci.transformers.CCA attribute) cov_y_ (pyntbci.transformers.CCA attribute) covariance() (in module pyntbci.utilities) CriterionStopping (class in pyntbci.stopping)

D

decision_function() (pyntbci.classifiers.eCCA method) (pyntbci.classifiers.Ensemble method) (pyntbci.classifiers.eTRCA method) (pyntbci.classifiers.rCCA method)

decoding_matrix() (in module pyntbci.utilities) DifferenceGate() (in module pyntbci.gates) distributions_ (pyntbci.stopping.DistributionStopping attribute) DistributionStopping (class in pyntbci.stopping)

E

eCCA (class in pyntbci.classifiers) encoding_matrix() (in module pyntbci.utilities) Ensemble (class in pyntbci.classifiers) eta_ (pyntbci.stopping.BayesStopping attribute)

eTRCA (class in pyntbci.classifiers) euclidean() (in module pyntbci.utilities) event_matrix() (in module pyntbci.utilities) eventplot() (in module pyntbci.plotting)

F

filterbank() (in module pyntbci.utilities) find_neighbours() (in module pyntbci.utilities) find_worst_neighbour() (in module pyntbci.utilities) fit() (pyntbci.classifiers.eCCA method) (pyntbci.classifiers.Ensemble method) (pyntbci.classifiers.eTRCA method) (pyntbci.classifiers.rCCA method) (pyntbci.stopping.BayesStopping method) (pyntbci.stopping.CriterionStopping method) (pyntbci.stopping.DistributionStopping method) (pyntbci.stopping.MarginStopping method) (pyntbci.stopping.ValueStopping method) (pyntbci.transformers.CCA method) (pyntbci.transformers.TRCA method)

G

gammatone() (in module pyntbci.envelope) get_T() (pyntbci.classifiers.eCCA method) (pyntbci.classifiers.eTRCA method) (pyntbci.classifiers.rCCA method)

I

is_de_bruijn_sequence() (in module pyntbci.stimulus) is_gold_code() (in module pyntbci.stimulus)

is_m_sequence() (in module pyntbci.stimulus) itr() (in module pyntbci.utilities)

M

make_apa_sequence() (in module pyntbci.stimulus) make_de_bruijn_sequence() (in module pyntbci.stimulus) make_golay_sequence() (in module pyntbci.stimulus) make_gold_codes() (in module pyntbci.stimulus) make_m_sequence() (in module pyntbci.stimulus) margins_ (pyntbci.stopping.MarginStopping attribute) MarginStopping (class in pyntbci.stopping) models_ (pyntbci.classifiers.Ensemble attribute) modulate() (in module pyntbci.stimulus)

module pyntbci.classifiers, [1] pyntbci.envelope, [1] pyntbci.gates, [1] pyntbci.plotting, [1] pyntbci.stimulus, [1] pyntbci.stopping, [1] pyntbci.transformers, [1] pyntbci.utilities, [1]

N

n_x_ (pyntbci.transformers.CCA attribute)

n_xy_ (pyntbci.transformers.CCA attribute) n_y_ (pyntbci.transformers.CCA attribute)

O

optimize_layout_incremental() (in module pyntbci.stimulus)

optimize_subset_clustering() (in module pyntbci.stimulus)

P

pf_ (pyntbci.stopping.BayesStopping attribute) pm_ (pyntbci.stopping.BayesStopping attribute) predict() (pyntbci.classifiers.eCCA method) (pyntbci.classifiers.Ensemble method) (pyntbci.classifiers.eTRCA method) (pyntbci.classifiers.rCCA method) (pyntbci.stopping.BayesStopping method) (pyntbci.stopping.CriterionStopping method) (pyntbci.stopping.DistributionStopping method) (pyntbci.stopping.MarginStopping method) (pyntbci.stopping.ValueStopping method) pyntbci.classifiers module, [1]

pyntbci.envelope module, [1] pyntbci.gates module, [1] pyntbci.plotting module, [1] pyntbci.stimulus module, [1] pyntbci.stopping module, [1] pyntbci.transformers module, [1] pyntbci.utilities module, [1]

R

r_ (pyntbci.classifiers.rCCA attribute)

rCCA (class in pyntbci.classifiers) rms() (in module pyntbci.envelope)

S

s0_ (pyntbci.stopping.BayesStopping attribute) s1_ (pyntbci.stopping.BayesStopping attribute) set_amplitudes() (pyntbci.classifiers.rCCA method) set_score_request() (pyntbci.classifiers.eCCA method) (pyntbci.classifiers.Ensemble method) (pyntbci.classifiers.eTRCA method) (pyntbci.classifiers.rCCA method) (pyntbci.stopping.BayesStopping method) (pyntbci.stopping.CriterionStopping method) (pyntbci.stopping.DistributionStopping method) (pyntbci.stopping.MarginStopping method) (pyntbci.stopping.ValueStopping method)

set_stimulus() (pyntbci.classifiers.rCCA method) set_stimulus_amplitudes() (pyntbci.classifiers.rCCA method) sigma_ (pyntbci.stopping.BayesStopping attribute) stop_time_ (pyntbci.stopping.CriterionStopping attribute)

T

T_ (pyntbci.classifiers.eCCA attribute) (pyntbci.classifiers.eTRCA attribute) topoplot() (in module pyntbci.plotting) transform() (pyntbci.transformers.CCA method) (pyntbci.transformers.TRCA method)

TRCA (class in pyntbci.transformers) trca_ (pyntbci.classifiers.eTRCA attribute) trials_to_epochs() (in module pyntbci.utilities) Ts_ (pyntbci.classifiers.rCCA attribute) Tw_ (pyntbci.classifiers.rCCA attribute)

V

values_ (pyntbci.stopping.ValueStopping attribute)

ValueStopping (class in pyntbci.stopping)

W

w_ (pyntbci.classifiers.eCCA attribute) (pyntbci.classifiers.eTRCA attribute) (pyntbci.classifiers.rCCA attribute) (pyntbci.transformers.TRCA attribute)

w_x_ (pyntbci.transformers.CCA attribute) w_y_ (pyntbci.transformers.CCA attribute)