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robertoostenveld committed Mar 1, 2024
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6 changes: 3 additions & 3 deletions _data/tag/aarhus.yml
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- name: Beamforming evoked fields and potentials in combined MEG/EEG data
link: /workshop/aarhus/beamformingerf

- name: FieldTrip workshop in Aarhus
link: /workshop/aarhus2015

- name: Beamforming evoked fields and potentials in combined MEG/EEG data
link: /workshop/aarhus/beamformingerf

6 changes: 3 additions & 3 deletions _data/tag/animal.yml
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- name: Analysis of monkey ECoG recordings
link: /tutorial/monkey_ecog

- name: Preprocessing and analysis of spike-train data
link: /tutorial/spike

- name: Preprocessing and analysis of spike and local field potential data
link: /tutorial/spikefield

- name: Preprocessing and analysis of spike-train data
link: /tutorial/spike

6 changes: 3 additions & 3 deletions _data/tag/bids.yml
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- name: BIDS - the brain imaging data structure
link: /example/bids

- name: Converting an example audio dataset for sharing in BIDS
link: /example/bids_audio

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- name: Converting an example eyetracker dataset for sharing in BIDS
link: /example/bids_eyetracker

- name: BIDS - the brain imaging data structure
link: /example/bids

- name: Converting an example MEG dataset for sharing in BIDS
link: /example/bids_meg

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6 changes: 3 additions & 3 deletions _data/tag/coherence.yml
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- name: Analysis of corticomuscular coherence
link: /tutorial/coherence

- name: Analysis of sensor- and source-level connectivity
link: /tutorial/connectivity

- name: Extended analysis of sensor- and source-level connectivity
link: /tutorial/connectivityextended

- name: Analysis of sensor- and source-level connectivity
link: /tutorial/connectivity

- name: Fourier analysis of neuronal oscillations and synchronization
link: /tutorial/fourier

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6 changes: 3 additions & 3 deletions _data/tag/compile.yml
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- name: How can I compile the mex files and command-line executable?
link: /faq/compile

- name: Can I use FieldTrip without MATLAB license?
link: /faq/compiled

- name: How can I compile the mex files and command-line executable?
link: /faq/compile

10 changes: 5 additions & 5 deletions _data/tag/connectivity.yml
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- name: Analysis of corticomuscular coherence
link: /tutorial/coherence

- name: Analysis of sensor- and source-level connectivity
link: /tutorial/connectivity

- name: Extended analysis of sensor- and source-level connectivity
link: /tutorial/connectivityextended

- name: Whole brain connectivity and network analysis
link: /tutorial/networkanalysis
- name: Analysis of sensor- and source-level connectivity
link: /tutorial/connectivity

- name: Whole brain connectivity and network analysis
link: /tutorial/networkanalysis_eeg

- name: Whole brain connectivity and network analysis
link: /tutorial/networkanalysis

- name: Whole brain connectivity and network analysis
link: /tutorial/networkanalysis_old

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6 changes: 3 additions & 3 deletions _data/tag/cuttingeeg2021.yml
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- name: FieldTrip tutorial at CuttingEEG 2021 in Aix-en-Provence
link: /workshop/cuttingeeg2021

- name: Convert the EEG language dataset for sharing in BIDS
link: /workshop/cuttingeeg2021/bids_language

- name: FieldTrip tutorial at CuttingEEG 2021 in Aix-en-Provence
link: /workshop/cuttingeeg2021

- name: Time-frequency analysis on short and long timescales
link: /workshop/cuttingeeg2021/tutorial_freq

12 changes: 6 additions & 6 deletions _data/tag/dataformat.yml
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- name: Getting started with audio data
link: /getting_started/audio

- name: Getting started with ABM's B-Alert EEG data
link: /getting_started/b_alert

- name: Getting started with BabySQUID data
link: /getting_started/babysquid

- name: Getting started with ABM's B-Alert EEG data
link: /getting_started/b_alert

- name: Getting started with BESA data
link: /getting_started/besa

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- name: Getting started with MNE(-python)
link: /getting_started/mne

- name: Getting started with Neuralynx data
link: /getting_started/neuralynx

- name: Getting started with Neuralynx data recorded at the Donders Institute
link: /getting_started/neuralynx_fcdc

- name: Getting started with Neuralynx data
link: /getting_started/neuralynx

- name: Getting started with Neuromag/Elekta/Megin data
link: /getting_started/neuromag

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6 changes: 3 additions & 3 deletions _data/tag/dataset.yml
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- name: How can I share my MEG data?
link: /faq/data_sharing

- name: Which datasets are used in the documentation and where are they used?
link: /faq/datasets

- name: How can I share my MEG data?
link: /faq/data_sharing

- name: Where can I find open access MEG/EEG data?
link: /faq/open_data

6 changes: 3 additions & 3 deletions _data/tag/development.yml
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- name: Development
link: /development

- name: Toolbox architecture and organization of the source code
link: /development/architecture

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- name: Reporting issues
link: /development/issues

- name: Development
link: /development

- name: Meetings
link: /development/meeting

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6 changes: 3 additions & 3 deletions _data/tag/dipole.yml
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- name: Compute forward simulated data using ft_dipolesimulation
link: /example/compute_forward_simulated_data

- name: Compute forward simulated data and apply a beamformer scan
link: /example/compute_forward_simulated_data_and_apply_a_beamformer_scan

- name: Compute forward simulated data and apply a dipole fit
link: /example/compute_forward_simulated_data_and_apply_a_dipole_fit

- name: Compute forward simulated data using ft_dipolesimulation
link: /example/compute_forward_simulated_data

- name: Compute forward simulated data with the low-level ft_compute_leadfield
link: /example/compute_leadfield

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6 changes: 3 additions & 3 deletions _data/tag/dtf.yml
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- name: Analysis of sensor- and source-level connectivity
link: /tutorial/connectivity

- name: Extended analysis of sensor- and source-level connectivity
link: /tutorial/connectivityextended

- name: Analysis of sensor- and source-level connectivity
link: /tutorial/connectivity

- name: Simulating and estimating, what about model (mis)match?
link: /workshop/chieti2015/simulation

6 changes: 3 additions & 3 deletions _data/tag/eeg-audodd.yml
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- name: Which datasets are used in the documentation and where are they used?
link: /faq/datasets

- name: FieldTrip workshop in Oslo
link: /workshop/oslo2019

- name: Forward modeling for EEG source reconstruction
link: /workshop/oslo2019/forward_modeling

- name: Preprocessing and event-related potentials in EEG data
link: /workshop/oslo2019/introduction

- name: FieldTrip workshop in Oslo
link: /workshop/oslo2019

- name: Statistical analysis and multiple comparison correction for EEG data
link: /workshop/oslo2019/statistics

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6 changes: 3 additions & 3 deletions _data/tag/eeg-sedation.yml
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- name: Which datasets are used in the documentation and where are they used?
link: /faq/datasets

- name: FieldTrip workshop in Madrid
link: /workshop/madrid2019

- name: Convert the EEG sedation dataset for sharing in BIDS
link: /workshop/madrid2019/bids_sedation

- name: Details on the resting-state EEG dataset recorded with different sedation levels
link: /workshop/madrid2019/eeg_sedation

- name: FieldTrip workshop in Madrid
link: /workshop/madrid2019

- name: Cleaning and processing resting-state EEG
link: /workshop/madrid2019/tutorial_cleaning

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18 changes: 9 additions & 9 deletions _data/tag/eeg.yml
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- name: Combined EEG and MEG source reconstruction
link: /example/combined_eeg_and_meg_source_reconstruction

- name: Compute forward simulated data using ft_dipolesimulation
link: /example/compute_forward_simulated_data

- name: Compute forward simulated data and apply a dipole fit
link: /example/compute_forward_simulated_data_and_apply_a_dipole_fit

- name: Compute forward simulated data using ft_dipolesimulation
link: /example/compute_forward_simulated_data

- name: Compute forward simulated data with the low-level ft_compute_leadfield
link: /example/compute_leadfield

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- name: Time-frequency analysis on short and long timescales
link: /workshop/cuttingeeg2021/tutorial_freq

- name: FieldTrip workshop in Madrid
link: /workshop/madrid2019

- name: Convert the EEG sedation dataset for sharing in BIDS
link: /workshop/madrid2019/bids_sedation

- name: Details on the resting-state EEG dataset recorded with different sedation levels
link: /workshop/madrid2019/eeg_sedation

- name: FieldTrip workshop in Madrid
link: /workshop/madrid2019

- name: Cleaning and processing resting-state EEG
link: /workshop/madrid2019/tutorial_cleaning

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- name: Time-frequency analysis using Hanning window, multitapers and wavelets
link: /workshop/ni2_timefrequencyanalysis

- name: FieldTrip workshop in Oslo
link: /workshop/oslo2019

- name: Forward modeling for EEG source reconstruction
link: /workshop/oslo2019/forward_modeling

- name: Preprocessing and event-related potentials in EEG data
link: /workshop/oslo2019/introduction

- name: FieldTrip workshop in Oslo
link: /workshop/oslo2019

- name: Statistical analysis and multiple comparison correction for EEG data
link: /workshop/oslo2019/statistics

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30 changes: 15 additions & 15 deletions _data/tag/example.yml
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- name: Example MATLAB scripts
link: /example

- name: Apply non-parametric statistics with clustering on TFRs of power that were computed with BESA
link: /example/apply_clusterrandanalysis_on_tfrs_of_power_that_were_computed_with_besa

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- name: Common filters in beamforming
link: /example/common_filters_in_beamforming

- name: Compute forward simulated data using ft_dipolesimulation
link: /example/compute_forward_simulated_data

- name: Compute forward simulated data and apply a beamformer scan
link: /example/compute_forward_simulated_data_and_apply_a_beamformer_scan

- name: Compute forward simulated data and apply a dipole fit
link: /example/compute_forward_simulated_data_and_apply_a_dipole_fit

- name: Compute forward simulated data using ft_dipolesimulation
link: /example/compute_forward_simulated_data

- name: Compute forward simulated data with the low-level ft_compute_leadfield
link: /example/compute_leadfield

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- name: Analysis of high-gamma band signals in human ECoG
link: /example/ecog_ny

- name: Effects of tapering for power estimates
link: /example/effects_of_tapering

- name: Computing and reporting the effect size
link: /example/effectsize

- name: Effects of tapering for power estimates
link: /example/effects_of_tapering

- name: Align EEG electrode positions to BEM headmodel
link: /example/electrodes2bem

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- name: Making your own trialfun for conditional trial definition
link: /example/making_your_own_trialfun_for_conditional_trial_definition

- name: Example MATLAB scripts
link: /example

- name: Measuring the timing delay and jitter for a real-time application
link: /example/measuring_the_timing_delay_and_jitter_for_a_real-time_application

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- name: Plotting the result of source reconstruction on a cortical mesh
link: /example/plotting_source_surface

- name: Making your analysis pipeline reproducible using reproducescript
link: /example/reproducescript

- name: Using reproducescript on a full study
link: /example/reproducescript_andersen

- name: Using reproducescript for a group analysis
link: /example/reproducescript_group

- name: Making your analysis pipeline reproducible using reproducescript
link: /example/reproducescript

- name: Re-reference EEG and iEEG data
link: /example/rereference

- name: Using simulations to estimate the sample size for cluster-based permutation test
link: /example/samplesize

- name: Source statistics
link: /example/source_statistics

- name: Create MNI-aligned grids in individual head-space
link: /example/sourcemodel_aligned2mni

- name: Source statistics
link: /example/source_statistics

- name: Analyze Steady-State Visual Evoked Potentials (SSVEPs)
link: /example/ssvep

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