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  • Most-used classes
    • mne.io.Raw
    • mne.Epochs
    • mne.Evoked
    • mne.Info
  • Reading raw data
    • mne.io.anonymize_info
    • mne.io.read_raw
    • mne.io.read_raw_artemis123
    • mne.io.read_raw_bti
    • mne.io.read_raw_cnt
    • mne.io.read_raw_ctf
    • mne.io.read_raw_curry
    • mne.io.read_raw_edf
    • mne.io.read_raw_eyelink
    • mne.io.read_raw_bdf
    • mne.io.read_raw_gdf
    • mne.io.read_raw_kit
    • mne.io.read_raw_nedf
    • mne.io.read_raw_nicolet
    • mne.io.read_raw_hitachi
    • mne.io.read_raw_nirx
    • mne.io.read_raw_snirf
    • mne.io.read_raw_eeglab
    • mne.io.read_raw_brainvision
    • mne.io.read_raw_egi
    • mne.io.read_raw_fif
    • mne.io.read_raw_eximia
    • mne.io.read_raw_fieldtrip
    • mne.io.read_raw_boxy
    • mne.io.read_raw_persyst
    • mne.io.read_raw_nihon
    • mne.io.read_raw_fil
    • mne.io.read_raw_nsx
    • mne.io.BaseRaw
    • mne.io.kit.read_mrk
  • File I/O
    • mne.channel_type
    • mne.channel_indices_by_type
    • mne.get_head_surf
    • mne.get_meg_helmet_surf
    • mne.get_volume_labels_from_aseg
    • mne.get_volume_labels_from_src
    • mne.parse_config
    • mne.read_labels_from_annot
    • mne.read_bem_solution
    • mne.read_bem_surfaces
    • mne.read_cov
    • mne.read_dipole
    • mne.read_epochs
    • mne.read_epochs_kit
    • mne.read_epochs_eeglab
    • mne.read_epochs_fieldtrip
    • mne.read_events
    • mne.read_evokeds
    • mne.read_evoked_besa
    • mne.read_evoked_fieldtrip
    • mne.read_evokeds_mff
    • mne.read_freesurfer_lut
    • mne.read_forward_solution
    • mne.read_label
    • mne.read_morph_map
    • mne.read_proj
    • mne.read_reject_parameters
    • mne.read_source_estimate
    • mne.read_source_spaces
    • mne.read_surface
    • mne.read_trans
    • mne.read_tri
    • mne.write_labels_to_annot
    • mne.write_bem_solution
    • mne.write_bem_surfaces
    • mne.write_head_bem
    • mne.write_cov
    • mne.write_events
    • mne.write_evokeds
    • mne.write_forward_solution
    • mne.write_label
    • mne.write_proj
    • mne.write_source_spaces
    • mne.write_surface
    • mne.write_trans
    • mne.what
    • mne.io.read_info
    • mne.io.show_fiff
    • mne.BaseEpochs
  • Creating data objects from arrays
    • mne.EvokedArray
    • mne.EpochsArray
    • mne.io.RawArray
    • mne.create_info
  • Exporting
    • mne.export.export_epochs
    • mne.export.export_evokeds
    • mne.export.export_evokeds_mff
    • mne.export.export_raw
  • Datasets
    • mne.datasets.fetch_dataset
    • mne.datasets.has_dataset
    • mne.datasets.brainstorm.bst_auditory.data_path
    • mne.datasets.brainstorm.bst_resting.data_path
    • mne.datasets.brainstorm.bst_raw.data_path
    • mne.datasets.eegbci.load_data
    • mne.datasets.eegbci.standardize
    • mne.datasets.fetch_aparc_sub_parcellation
    • mne.datasets.fetch_fsaverage
    • mne.datasets.fetch_hcp_mmp_parcellation
    • mne.datasets.fetch_infant_template
    • mne.datasets.fetch_phantom
    • mne.datasets.fnirs_motor.data_path
    • mne.datasets.hf_sef.data_path
    • mne.datasets.kiloword.data_path
    • mne.datasets.limo.load_data
    • mne.datasets.misc.data_path
    • mne.datasets.mtrf.data_path
    • mne.datasets.multimodal.data_path
    • mne.datasets.opm.data_path
    • mne.datasets.sleep_physionet.age.fetch_data
    • mne.datasets.sleep_physionet.temazepam.fetch_data
    • mne.datasets.sample.data_path
    • mne.datasets.somato.data_path
    • mne.datasets.spm_face.data_path
    • mne.datasets.ucl_opm_auditory.data_path
    • mne.datasets.visual_92_categories.data_path
    • mne.datasets.phantom_4dbti.data_path
    • mne.datasets.refmeg_noise.data_path
    • mne.datasets.ssvep.data_path
    • mne.datasets.erp_core.data_path
    • mne.datasets.epilepsy_ecog.data_path
    • mne.datasets.eyelink.data_path
  • Visualization
    • mne.viz.Brain
    • mne.viz.ClickableImage
    • mne.viz.Figure3D
    • mne.viz.add_background_image
    • mne.viz.centers_to_edges
    • mne.viz.compare_fiff
    • mne.viz.circular_layout
    • mne.viz.iter_topography
    • mne.viz.mne_analyze_colormap
    • mne.viz.plot_bem
    • mne.viz.plot_brain_colorbar
    • mne.viz.plot_bridged_electrodes
    • mne.viz.plot_chpi_snr
    • mne.viz.plot_cov
    • mne.viz.plot_channel_labels_circle
    • mne.viz.plot_ch_adjacency
    • mne.viz.plot_csd
    • mne.viz.plot_dipole_amplitudes
    • mne.viz.plot_dipole_locations
    • mne.viz.plot_drop_log
    • mne.viz.plot_epochs
    • mne.viz.plot_epochs_psd_topomap
    • mne.viz.plot_events
    • mne.viz.plot_evoked
    • mne.viz.plot_evoked_image
    • mne.viz.plot_evoked_topo
    • mne.viz.plot_evoked_topomap
    • mne.viz.plot_evoked_joint
    • mne.viz.plot_evoked_field
    • mne.viz.plot_evoked_white
    • mne.viz.plot_filter
    • mne.viz.plot_head_positions
    • mne.viz.plot_ideal_filter
    • mne.viz.plot_compare_evokeds
    • mne.viz.plot_ica_sources
    • mne.viz.plot_ica_components
    • mne.viz.plot_ica_properties
    • mne.viz.plot_ica_scores
    • mne.viz.plot_ica_overlay
    • mne.viz.plot_epochs_image
    • mne.viz.plot_layout
    • mne.viz.plot_montage
    • mne.viz.plot_projs_topomap
    • mne.viz.plot_projs_joint
    • mne.viz.plot_raw
    • mne.viz.plot_raw_psd
    • mne.viz.plot_regression_weights
    • mne.viz.plot_sensors
    • mne.viz.plot_snr_estimate
    • mne.viz.plot_source_estimates
    • mne.viz.link_brains
    • mne.viz.plot_volume_source_estimates
    • mne.viz.plot_vector_source_estimates
    • mne.viz.plot_sparse_source_estimates
    • mne.viz.plot_tfr_topomap
    • mne.viz.plot_topo_image_epochs
    • mne.viz.plot_topomap
    • mne.viz.plot_alignment
    • mne.viz.snapshot_brain_montage
    • mne.viz.plot_arrowmap
    • mne.viz.set_3d_backend
    • mne.viz.get_3d_backend
    • mne.viz.use_3d_backend
    • mne.viz.set_3d_options
    • mne.viz.set_3d_view
    • mne.viz.set_3d_title
    • mne.viz.create_3d_figure
    • mne.viz.close_3d_figure
    • mne.viz.close_all_3d_figures
    • mne.viz.get_brain_class
    • mne.viz.set_browser_backend
    • mne.viz.get_browser_backend
    • mne.viz.use_browser_backend
  • Preprocessing
    • mne.Projection
    • mne.compute_proj_epochs
    • mne.compute_proj_evoked
    • mne.compute_proj_raw
    • mne.read_proj
    • mne.write_proj
    • mne.channels.Layout
    • mne.channels.DigMontage
    • mne.channels.compute_native_head_t
    • mne.channels.fix_mag_coil_types
    • mne.channels.read_polhemus_fastscan
    • mne.channels.get_builtin_montages
    • mne.channels.make_dig_montage
    • mne.channels.read_dig_polhemus_isotrak
    • mne.channels.read_dig_captrak
    • mne.channels.read_dig_dat
    • mne.channels.read_dig_egi
    • mne.channels.read_dig_fif
    • mne.channels.read_dig_hpts
    • mne.channels.read_dig_localite
    • mne.channels.make_standard_montage
    • mne.channels.read_custom_montage
    • mne.channels.compute_dev_head_t
    • mne.channels.read_layout
    • mne.channels.find_layout
    • mne.channels.make_eeg_layout
    • mne.channels.make_grid_layout
    • mne.channels.find_ch_adjacency
    • mne.channels.get_builtin_ch_adjacencies
    • mne.channels.read_ch_adjacency
    • mne.channels.equalize_channels
    • mne.channels.rename_channels
    • mne.channels.generate_2d_layout
    • mne.channels.make_1020_channel_selections
    • mne.channels.combine_channels
    • mne.preprocessing.ICA
    • mne.preprocessing.Xdawn
    • mne.preprocessing.EOGRegression
    • mne.preprocessing.annotate_amplitude
    • mne.preprocessing.annotate_break
    • mne.preprocessing.annotate_movement
    • mne.preprocessing.annotate_muscle_zscore
    • mne.preprocessing.annotate_nan
    • mne.preprocessing.compute_average_dev_head_t
    • mne.preprocessing.compute_current_source_density
    • mne.preprocessing.compute_bridged_electrodes
    • mne.preprocessing.compute_fine_calibration
    • mne.preprocessing.compute_maxwell_basis
    • mne.preprocessing.compute_proj_ecg
    • mne.preprocessing.compute_proj_eog
    • mne.preprocessing.compute_proj_hfc
    • mne.preprocessing.cortical_signal_suppression
    • mne.preprocessing.create_ecg_epochs
    • mne.preprocessing.create_eog_epochs
    • mne.preprocessing.find_bad_channels_maxwell
    • mne.preprocessing.find_ecg_events
    • mne.preprocessing.find_eog_events
    • mne.preprocessing.fix_stim_artifact
    • mne.preprocessing.ica_find_ecg_events
    • mne.preprocessing.ica_find_eog_events
    • mne.preprocessing.infomax
    • mne.preprocessing.interpolate_bridged_electrodes
    • mne.preprocessing.equalize_bads
    • mne.preprocessing.maxwell_filter
    • mne.preprocessing.maxwell_filter_prepare_emptyroom
    • mne.preprocessing.oversampled_temporal_projection
    • mne.preprocessing.peak_finder
    • mne.preprocessing.read_ica
    • mne.preprocessing.read_eog_regression
    • mne.preprocessing.realign_raw
    • mne.preprocessing.regress_artifact
    • mne.preprocessing.corrmap
    • mne.preprocessing.read_ica_eeglab
    • mne.preprocessing.read_fine_calibration
    • mne.preprocessing.write_fine_calibration
    • mne.preprocessing.nirs.optical_density
    • mne.preprocessing.nirs.beer_lambert_law
    • mne.preprocessing.nirs.source_detector_distances
    • mne.preprocessing.nirs.short_channels
    • mne.preprocessing.nirs.scalp_coupling_index
    • mne.preprocessing.nirs.temporal_derivative_distribution_repair
    • mne.preprocessing.ieeg.project_sensors_onto_brain
    • mne.preprocessing.ieeg.make_montage_volume
    • mne.preprocessing.ieeg.warp_montage
    • mne.preprocessing.eyetracking.Calibration
    • mne.preprocessing.eyetracking.read_eyelink_calibration
    • mne.preprocessing.eyetracking.set_channel_types_eyetrack
    • mne.preprocessing.eyetracking.interpolate_blinks
    • mne.add_reference_channels
    • mne.set_bipolar_reference
    • mne.set_eeg_reference
    • mne.filter.construct_iir_filter
    • mne.filter.create_filter
    • mne.filter.estimate_ringing_samples
    • mne.filter.filter_data
    • mne.filter.notch_filter
    • mne.filter.resample
    • mne.chpi.compute_chpi_amplitudes
    • mne.chpi.compute_chpi_snr
    • mne.chpi.compute_chpi_locs
    • mne.chpi.compute_head_pos
    • mne.chpi.extract_chpi_locs_ctf
    • mne.chpi.extract_chpi_locs_kit
    • mne.chpi.filter_chpi
    • mne.chpi.get_active_chpi
    • mne.chpi.get_chpi_info
    • mne.chpi.head_pos_to_trans_rot_t
    • mne.chpi.read_head_pos
    • mne.chpi.write_head_pos
    • mne.transforms.Transform
    • mne.transforms.quat_to_rot
    • mne.transforms.rot_to_quat
    • mne.transforms.read_ras_mni_t
  • Events
    • mne.Annotations
    • mne.AcqParserFIF
    • mne.concatenate_events
    • mne.count_events
    • mne.find_events
    • mne.find_stim_steps
    • mne.make_fixed_length_events
    • mne.make_fixed_length_epochs
    • mne.merge_events
    • mne.parse_config
    • mne.pick_events
    • mne.read_annotations
    • mne.read_events
    • mne.write_events
    • mne.concatenate_epochs
    • mne.events_from_annotations
    • mne.annotations_from_events
    • mne.count_annotations
    • mne.event.define_target_events
    • mne.event.match_event_names
    • mne.event.shift_time_events
    • mne.epochs.average_movements
    • mne.epochs.combine_event_ids
    • mne.epochs.equalize_epoch_counts
    • mne.epochs.make_metadata
  • Sensor Space Data
    • mne.combine_evoked
    • mne.concatenate_raws
    • mne.equalize_channels
    • mne.grand_average
    • mne.match_channel_orders
    • mne.pick_channels
    • mne.pick_channels_cov
    • mne.pick_channels_forward
    • mne.pick_channels_regexp
    • mne.pick_types
    • mne.pick_types_forward
    • mne.pick_info
    • mne.read_epochs
    • mne.read_reject_parameters
    • mne.read_vectorview_selection
    • mne.rename_channels
    • mne.baseline.rescale
  • Covariance computation
    • mne.Covariance
    • mne.compute_covariance
    • mne.compute_raw_covariance
    • mne.cov.compute_whitener
    • mne.cov.prepare_noise_cov
    • mne.cov.regularize
    • mne.compute_rank
    • mne.make_ad_hoc_cov
    • mne.read_cov
    • mne.write_cov
  • MRI Processing
    • mne.coreg.get_mni_fiducials
    • mne.coreg.estimate_head_mri_t
    • mne.io.read_fiducials
    • mne.io.write_fiducials
    • mne.get_montage_volume_labels
    • mne.gui.coregistration
    • mne.create_default_subject
    • mne.head_to_mni
    • mne.head_to_mri
    • mne.read_freesurfer_lut
    • mne.read_lta
    • mne.read_talxfm
    • mne.scale_mri
    • mne.scale_bem
    • mne.scale_labels
    • mne.scale_source_space
    • mne.transforms.apply_volume_registration
    • mne.transforms.apply_volume_registration_points
    • mne.transforms.compute_volume_registration
    • mne.vertex_to_mni
    • mne.coreg.Coregistration
  • Forward Modeling
    • mne.Forward
    • mne.SourceSpaces
    • mne.add_source_space_distances
    • mne.apply_forward
    • mne.apply_forward_raw
    • mne.average_forward_solutions
    • mne.convert_forward_solution
    • mne.decimate_surface
    • mne.dig_mri_distances
    • mne.forward.compute_depth_prior
    • mne.forward.compute_orient_prior
    • mne.forward.restrict_forward_to_label
    • mne.forward.restrict_forward_to_stc
    • mne.make_bem_model
    • mne.make_bem_solution
    • mne.make_forward_dipole
    • mne.make_forward_solution
    • mne.make_field_map
    • mne.make_sphere_model
    • mne.morph_source_spaces
    • mne.read_bem_surfaces
    • mne.read_forward_solution
    • mne.read_trans
    • mne.read_source_spaces
    • mne.read_surface
    • mne.sensitivity_map
    • mne.setup_source_space
    • mne.setup_volume_source_space
    • mne.surface.complete_surface_info
    • mne.surface.read_curvature
    • mne.use_coil_def
    • mne.write_bem_surfaces
    • mne.write_trans
    • mne.bem.ConductorModel
    • mne.bem.fit_sphere_to_headshape
    • mne.bem.get_fitting_dig
    • mne.bem.make_watershed_bem
    • mne.bem.make_flash_bem
    • mne.bem.make_scalp_surfaces
    • mne.bem.convert_flash_mris
    • mne.bem.distance_to_bem
  • Inverse Solutions
    • mne.minimum_norm.InverseOperator
    • mne.minimum_norm.apply_inverse
    • mne.minimum_norm.apply_inverse_cov
    • mne.minimum_norm.apply_inverse_epochs
    • mne.minimum_norm.apply_inverse_raw
    • mne.minimum_norm.apply_inverse_tfr_epochs
    • mne.minimum_norm.compute_source_psd
    • mne.minimum_norm.compute_source_psd_epochs
    • mne.minimum_norm.compute_rank_inverse
    • mne.minimum_norm.estimate_snr
    • mne.minimum_norm.make_inverse_operator
    • mne.minimum_norm.prepare_inverse_operator
    • mne.minimum_norm.read_inverse_operator
    • mne.minimum_norm.source_band_induced_power
    • mne.minimum_norm.source_induced_power
    • mne.minimum_norm.write_inverse_operator
    • mne.minimum_norm.make_inverse_resolution_matrix
    • mne.minimum_norm.resolution_metrics
    • mne.minimum_norm.get_cross_talk
    • mne.minimum_norm.get_point_spread
    • mne.inverse_sparse.mixed_norm
    • mne.inverse_sparse.tf_mixed_norm
    • mne.inverse_sparse.gamma_map
    • mne.inverse_sparse.make_stc_from_dipoles
    • mne.beamformer.Beamformer
    • mne.beamformer.read_beamformer
    • mne.beamformer.make_lcmv
    • mne.beamformer.apply_lcmv
    • mne.beamformer.apply_lcmv_epochs
    • mne.beamformer.apply_lcmv_raw
    • mne.beamformer.apply_lcmv_cov
    • mne.beamformer.make_dics
    • mne.beamformer.apply_dics
    • mne.beamformer.apply_dics_csd
    • mne.beamformer.apply_dics_epochs
    • mne.beamformer.apply_dics_tfr_epochs
    • mne.beamformer.rap_music
    • mne.beamformer.trap_music
    • mne.beamformer.make_lcmv_resolution_matrix
    • mne.Dipole
    • mne.DipoleFixed
    • mne.fit_dipole
    • mne.dipole.get_phantom_dipoles
  • Source Space Data
    • mne.BiHemiLabel
    • mne.Label
    • mne.MixedSourceEstimate
    • mne.MixedVectorSourceEstimate
    • mne.SourceEstimate
    • mne.VectorSourceEstimate
    • mne.VolSourceEstimate
    • mne.VolVectorSourceEstimate
    • mne.SourceMorph
    • mne.compute_source_morph
    • mne.extract_label_time_course
    • mne.grade_to_tris
    • mne.grade_to_vertices
    • mne.label.select_sources
    • mne.grow_labels
    • mne.label_sign_flip
    • mne.labels_to_stc
    • mne.morph_labels
    • mne.random_parcellation
    • mne.read_labels_from_annot
    • mne.read_dipole
    • mne.read_label
    • mne.read_source_estimate
    • mne.read_source_morph
    • mne.split_label
    • mne.stc_to_label
    • mne.stc_near_sensors
    • mne.transform_surface_to
    • mne.write_labels_to_annot
    • mne.write_label
    • mne.source_space.compute_distance_to_sensors
    • mne.source_space.get_decimated_surfaces
  • Time-Frequency
    • mne.time_frequency.AverageTFR
    • mne.time_frequency.EpochsTFR
    • mne.time_frequency.CrossSpectralDensity
    • mne.time_frequency.Spectrum
    • mne.time_frequency.EpochsSpectrum
    • mne.time_frequency.csd_tfr
    • mne.time_frequency.csd_fourier
    • mne.time_frequency.csd_multitaper
    • mne.time_frequency.csd_morlet
    • mne.time_frequency.pick_channels_csd
    • mne.time_frequency.read_csd
    • mne.time_frequency.fit_iir_model_raw
    • mne.time_frequency.tfr_morlet
    • mne.time_frequency.tfr_multitaper
    • mne.time_frequency.tfr_stockwell
    • mne.time_frequency.read_tfrs
    • mne.time_frequency.write_tfrs
    • mne.time_frequency.read_spectrum
    • mne.time_frequency.csd_array_fourier
    • mne.time_frequency.csd_array_multitaper
    • mne.time_frequency.csd_array_morlet
    • mne.time_frequency.dpss_windows
    • mne.time_frequency.fwhm
    • mne.time_frequency.morlet
    • mne.time_frequency.stft
    • mne.time_frequency.istft
    • mne.time_frequency.stftfreq
    • mne.time_frequency.psd_array_multitaper
    • mne.time_frequency.psd_array_welch
    • mne.time_frequency.tfr_array_morlet
    • mne.time_frequency.tfr_array_multitaper
    • mne.time_frequency.tfr_array_stockwell
    • mne.time_frequency.tfr.cwt
    • mne.time_frequency.tfr.morlet
  • Connectivity Estimation
  • Statistics
    • mne.stats.ttest_1samp_no_p
    • mne.stats.ttest_ind_no_p
    • mne.stats.f_oneway
    • mne.stats.f_mway_rm
    • mne.stats.f_threshold_mway_rm
    • mne.stats.linear_regression
    • mne.stats.linear_regression_raw
    • mne.stats.bonferroni_correction
    • mne.stats.fdr_correction
    • mne.stats.combine_adjacency
    • mne.stats.permutation_cluster_test
    • mne.stats.permutation_cluster_1samp_test
    • mne.stats.permutation_t_test
    • mne.stats.spatio_temporal_cluster_test
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mne.io.read_raw_eyelink#

mne.io.read_raw_eyelink(fname, preload=False, verbose=None, create_annotations=True, apply_offsets=False, find_overlaps=False, overlap_threshold=0.05, gap_description=None)[source]#

Reader for an Eyelink .asc file.

Parameters
fnamepath-like

Path to the eyelink file (.asc).

preloadbool or str (default False)

Preload data into memory for data manipulation and faster indexing. If True, the data will be preloaded into memory (fast, requires large amount of memory). If preload is a string, preload is the file name of a memory-mapped file which is used to store the data on the hard drive (slower, requires less memory).

verbosebool | str | int | None

Control verbosity of the logging output. If None, use the default verbosity level. See the logging documentation and mne.verbose() for details. Should only be passed as a keyword argument.

create_annotationsbool | list (default True)

Whether to create mne.Annotations from occular events (blinks, fixations, saccades) and experiment messages. If a list, must contain one or more of [‘fixations’, ‘saccades’,’ blinks’, messages’]. If True, creates mne.Annotations for both occular events and experiment messages.

apply_offsetsbool (default False)

Adjusts the onset time of the mne.Annotations created from Eyelink experiment messages, if offset values exist in self.dataframes[‘messages’].

find_overlapsbool (default False)

Combine left and right eye mne.Annotations (blinks, fixations, saccades) if their start times and their stop times are both not separated by more than overlap_threshold.

overlap_thresholdfloat (default 0.05)

Time in seconds. Threshold of allowable time-gap between both the start and stop times of the left and right eyes. If the gap is larger than the threshold, the mne.Annotations will be kept separate (i.e. "blink_L", "blink_R"). If the gap is smaller than the threshold, the mne.Annotations will be merged and labeled as "blink_both". Defaults to 0.05 seconds (50 ms), meaning that if the blink start times of the left and right eyes are separated by less than 50 ms, and the blink stop times of the left and right eyes are separated by less than 50 ms, then the blink will be merged into a single mne.Annotations.

gap_descriptionstr (default ‘BAD_ACQ_SKIP’)

Label for annotations that span across the gap period between the blocks. Uses 'BAD_ACQ_SKIP' by default so that these time periods will be considered bad by MNE and excluded from operations like epoching.

Deprecated since version 1.5: This parameter is deprecated and will be removed in version 1.6. Use mne.Annotations.rename() if you want something other than BAD_ACQ_SKIP as the annotation label.

Returns
rawinstance of RawEyelink

A Raw object containing eyetracker data.

See also

mne.io.Raw

Documentation of attribute and methods.

Notes

It is common for SR Research Eyelink eye trackers to only record data during trials. To avoid frequent data discontinuities and to ensure that the data is continuous so that it can be aligned with EEG and MEG data (if applicable), this reader will preserve the times between recording trials and annotate them with 'BAD_ACQ_SKIP'.

Examples using mne.io.read_raw_eyelink#

Importing Data from Eyetracking devices

Importing Data from Eyetracking devices

Working with eye tracker data in MNE-Python

Working with eye tracker data in MNE-Python

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