Udemy - Complete neural signal processing and analysis Zero to hero (11.2024)
File List
- 02. The basics of neural signal processing/16. Problem set (12) Simulating and visualizing data.mp4 481.4 MB
- 05. Static spectral analysis/38. Problem set (22) Spectral analyses of real and simulated data.mp4 466.7 MB
- 02. The basics of neural signal processing/17. Problem set (22) Simulating and visualizing data.mp4 453.1 MB
- 09. Synchronization analyses/24. Problem set (22) Pairwise synchronization.mp4 442.5 MB
- 02. The basics of neural signal processing/04. ICA for data cleaning.mp4 437.6 MB
- 05. Static spectral analysis/37. Problem set (12) Spectral analyses of real and simulated data.mp4 427.4 MB
- 07. Time-frequency analysis/40. Problem set (13) Time-frequency analysis.mp4 360.4 MB
- 07. Time-frequency analysis/42. Problem set (33) Time-frequency analysis.mp4 345.7 MB
- 02. The basics of neural signal processing/02. Origin, significance, and interpretation of EEG.mp4 343.5 MB
- 07. Time-frequency analysis/33. MATLAB Cross-trial regression.mp4 326.2 MB
- 09. Synchronization analyses/23. Problem set (12) Pairwise synchronization.mp4 294.9 MB
- 02. The basics of neural signal processing/05. Signal artifacts (not) to worry about.mp4 280.3 MB
- 07. Time-frequency analysis/38. MATLAB Total, non-phase-locked, and phase-locked power.mp4 275.2 MB
- 09. Synchronization analyses/13. MATLAB Phase synchronization in voltage and Laplacian data.mp4 266.2 MB
- 07. Time-frequency analysis/19. MATLAB Time-frequency trade-off.mp4 240.8 MB
- 09. Synchronization analyses/06. MATLAB ISPC.mp4 234.0 MB
- 05. Static spectral analysis/17. MATLAB Fourier coefficients as complex numbers.mp4 230.7 MB
- 05. Static spectral analysis/32. MATLAB Examples of smooth nonstationarities on power spectra.mp4 216.5 MB
- 04. Time-domain analyses/02. Event-related potential (ERP).mp4 213.9 MB
- 11. Permutation-based statistics/05. MATLAB Permutation testing and shuffling.mp4 213.7 MB
- 05. Static spectral analysis/16. MATLAB The discrete-time Fourier transform.mp4 209.9 MB
- 07. Time-frequency analysis/25. MATLAB detrended fluctuation analysis.mp4 205.7 MB
- 07. Time-frequency analysis/35. MATLAB Downsampling time-frequency results.mp4 200.8 MB
- 05. Static spectral analysis/14. MATLAB The complex dot product.mp4 191.7 MB
- 05. Static spectral analysis/21. MATLAB Positivenegative spectrum; amplitude scaling.mp4 182.7 MB
- 09. Synchronization analyses/16. MATLAB Simulating data to test connectivity methods.mp4 182.1 MB
- 11. Permutation-based statistics/15. Three approaches for group-level statistics.mp4 181.4 MB
- 07. Time-frequency analysis/05. MATLAB Time-domain convolution.mp4 178.2 MB
- 09. Synchronization analyses/19. MATLAB Granger causality.mp4 170.8 MB
- 07. Time-frequency analysis/41. Problem set (23) Time-frequency analysis.mp4 168.8 MB
- 07. Time-frequency analysis/03. MATLAB Getting to know Morlet wavelets.mp4 167.2 MB
- 11. Permutation-based statistics/16. MATLAB Extracting features for group analyses.mp4 164.9 MB
- 07. Time-frequency analysis/23. MATLAB Baseline normalization of TF plots.mp4 164.3 MB
- 05. Static spectral analysis/28. MATLAB Frequency resolution and zero-padding.mp4 163.5 MB
- 09. Synchronization analyses/21. MATLAB Connectivity hubs.mp4 162.4 MB
- 12. More on permutation testing statistics/10. Project 7-2 Solutions.mp4 154.5 MB
- 04. Time-domain analyses/03. Lowpass filter an ERP.mp4 152.3 MB
- 02. The basics of neural signal processing/14. Simulating data to understand analysis methods.mp4 148.0 MB
- 11. Permutation-based statistics/11. MATLAB Extreme pixel correction.mp4 143.7 MB
- 07. Time-frequency analysis/18. Parameters of Morlet wavelet (time-frequency trade-off).mp4 139.9 MB
- 11. Permutation-based statistics/04. Permutation-based statistics.mp4 138.9 MB
- 05. Static spectral analysis/23. MATLAB Quantify alpha power over the scalp.mp4 138.6 MB
- 07. Time-frequency analysis/12. MATLAB Complex Morlet wavelet convolution.mp4 137.1 MB
- 02. The basics of neural signal processing/11. MATLAB EEG dataset.mp4 136.6 MB
- 09. Synchronization analyses/18. Granger causality (prediction).mp4 136.4 MB
- 07. Time-frequency analysis/27. MATLAB Filter-Hilbert.mp4 131.5 MB
- 06. More on static spectral analyses/13. Project 3-2 Solutions.mp4 130.5 MB
- 11. Permutation-based statistics/06. MATLAB Permutation testing in real data.mp4 129.1 MB
- 12. More on permutation testing statistics/02. Permutation testing for one variable and two groups.mp4 122.0 MB
- 10. More on synchronization analyses/05. Power time series correlations.mp4 120.4 MB
- 09. Synchronization analyses/09. MATLAB Laplacian in real EEG data.mp4 119.0 MB
- 03. Simulating time series signals and noise/04. The three important equations (sine, Gaussian, Euler's).mp4 118.6 MB
- 02. The basics of neural signal processing/06. Topographical mapping.mp4 116.0 MB
- 09. Synchronization analyses/08. MATLAB Laplacian in simulated data.mp4 110.1 MB
- 09. Synchronization analyses/03. Volume conduction and what to do about it.mp4 108.5 MB
- 12. More on permutation testing statistics/04. Permutation testing in simulated time series.mp4 107.9 MB
- 07. Time-frequency analysis/21. The 1f structure of spectral brain dynamics.mp4 106.3 MB
- 10. More on synchronization analyses/08. All-to-all synchronization and hubness (graph theory).mp4 104.6 MB
- 06. More on static spectral analyses/07. To taper or not to taper.mp4 103.7 MB
- 07. Time-frequency analysis/36. MATLAB Linear vs. logarithmic frequency scaling.mp4 102.5 MB
- 09. Synchronization analyses/11. MATLAB phase-lag index.mp4 101.6 MB
- 04. Time-domain analyses/09. Project 2-1 Solutions.mp4 100.6 MB
- 13. Multivariate components analysis/04. Create covariance matrices based on time and on frequency.mp4 100.4 MB
- 10. More on synchronization analyses/06. Power correlations over trials.mp4 100.0 MB
- 07. Time-frequency analysis/08. MATLAB Convolve real data with a Gaussian.mp4 97.5 MB
- 09. Synchronization analyses/04. Intuition about phase synchronization.mp4 94.6 MB
- 12. More on permutation testing statistics/08. Project 7-1 Solutions.mp4 94.2 MB
- 11. Permutation-based statistics/17. Circular inference (double-dipping).mp4 94.1 MB
- 10. More on synchronization analyses/09. Phase-lag index.mp4 93.4 MB
- 07. Time-frequency analysis/13. MATLAB Convolution with all trials!.mp4 93.1 MB
- 02. The basics of neural signal processing/08. Motivations for rhythm-based analyses.mp4 92.7 MB
- 05. Static spectral analysis/22. MATLAB Spectral analysis of resting-state EEG.mp4 92.6 MB
- 11. Permutation-based statistics/09. MATLAB Cluster correction.mp4 92.6 MB
- 09. Synchronization analyses/20. Hubness from graph theory.mp4 90.3 MB
- 08. More on time-frequency analysis/16. Project 4-1 Solutions.mp4 87.4 MB
- 12. More on permutation testing statistics/05. Permutation testing for cluster correction in simulated data.mp4 86.3 MB
- 11. Permutation-based statistics/03. Parametric vs. nonparametric statistics.mp4 84.6 MB
- 03. Simulating time series signals and noise/13. Project 1-2 Solutions.mp4 84.2 MB
- 12. More on permutation testing statistics/06. Permutation testing and cluster correction in real EEG data.mp4 83.4 MB
- 07. Time-frequency analysis/17. MATLAB ITPC.mp4 82.8 MB
- 07. Time-frequency analysis/22. Baseline normalization of time-frequency power.mp4 82.0 MB
- 09. Synchronization analyses/02. Four things to keep in mind about connectivity.mp4 82.0 MB
- 09. Synchronization analyses/12. When to use phase-lag vs. phase-clustering measures.mp4 81.2 MB
- 06. More on static spectral analyses/11. Project 3-1 Solutions.mp4 81.1 MB
- 04. Time-domain analyses/06. Topography time series.mp4 80.2 MB
- 10. More on synchronization analyses/02. Synchronization in simulated noisy oscillators.mp4 79.7 MB
- 08. More on time-frequency analysis/13. Instantaneous frequency in simulated data.mp4 79.6 MB
- 10. More on synchronization analyses/04. Phase synchronization matrices in multitrial data.mp4 78.6 MB
- 05. Static spectral analysis/34. MATLAB Welch's method on phase-slip data.mp4 76.7 MB
- 05. Static spectral analysis/12. MATLAB Complex sine waves.mp4 75.9 MB
- 13. Multivariate components analysis/05. Principal components analysis (PCA) of simulated data.mp4 75.6 MB
- 06. More on static spectral analyses/09. Comparing average spectra vs. spectra of an average.mp4 75.6 MB
- 10. More on synchronization analyses/07. Scalp Laplacian for electrode-level connectivity.mp4 74.8 MB
- 08. More on time-frequency analysis/17. Narrowband filtering and the Hilbert transform.mp4 74.4 MB
- 08. More on time-frequency analysis/08. Exploring wavelet parameters in real data.mp4 74.1 MB
- 01. Introduction/03. What to expect from this course.mp4 73.2 MB
- 08. More on time-frequency analysis/03. Create a time-frequency plot of a nonlinear chirp.mp4 73.1 MB
- 05. Static spectral analysis/10. MATLAB Dot product and sine waves.mp4 73.0 MB
- 07. Time-frequency analysis/26. The filter-Hilbert time-frequency method.mp4 71.5 MB
- 07. Time-frequency analysis/02. Morlet wavelets in time and in frequency.mp4 71.3 MB
- 07. Time-frequency analysis/10. Complex Morlet wavelet convolution.mp4 70.6 MB
- 05. Static spectral analysis/08. MATLAB Complex numbers and Euler's formula.mp4 70.5 MB
- 10. More on synchronization analyses/03. Spurious connectivity in narrowband noise.mp4 70.2 MB
- 07. Time-frequency analysis/06. Convolution as spectral multiplication.mp4 69.7 MB
- 03. Simulating time series signals and noise/08. The eeglab EEG structure.mp4 68.8 MB
- 02. The basics of neural signal processing/09. Interpreting time-frequency plots.mp4 68.7 MB
- 13. Multivariate components analysis/03. Simulate multicomponent EEG data.mp4 68.2 MB
- 07. Time-frequency analysis/39. Edge effects, buffer zones, and data epoch length.mp4 67.9 MB
- 03. Simulating time series signals and noise/11. Projecting dipoles onto EEG electrodes.mp4 67.2 MB
- 05. Static spectral analysis/31. MATLAB Examples of sharp nonstationarities on power spectra.mp4 67.0 MB
- 08. More on time-frequency analysis/09. Exploring wavelet parameters in simulated data.mp4 66.9 MB
- 08. More on time-frequency analysis/07. Baseline normalize power with dB and % change.mp4 66.8 MB
- 04. Time-domain analyses/07. Simulate ERPs from two dipoles.mp4 66.7 MB
- 02. The basics of neural signal processing/07. Overview of time-domain analyses (ERPs).mp4 66.1 MB
- 03. Simulating time series signals and noise/09. Project 1-1 Channel-level EEG data.mp4 65.9 MB
- 13. Multivariate components analysis/06. Time-based GED for source-separation in simulated data.mp4 65.5 MB
- 06. More on static spectral analyses/05. FFT of stationary and non-stationary simulated data.mp4 65.2 MB
- 07. Time-frequency analysis/34. Temporal resolution vs. precision, pre- and post-convolution.mp4 64.4 MB
- 05. Static spectral analysis/26. MATLAB Reconstruct a signal via inverse FFT.mp4 64.2 MB
- 08. More on time-frequency analysis/14. Instantaneous frequency in real data.mp4 64.1 MB
- 07. Time-frequency analysis/30. Comparing wavelet, filter-Hilbert, and STFFT.mp4 64.0 MB
- 07. Time-frequency analysis/07. MATLAB The five steps of convolution.mp4 63.7 MB
- 07. Time-frequency analysis/37. Separating phase-locked and non-phase-locked activity.mp4 63.5 MB
- 07. Time-frequency analysis/04. Convolution in the time domain.mp4 63.3 MB
- 13. Multivariate components analysis/09. Project 6-1 Solutions.mp4 62.4 MB
- 05. Static spectral analysis/33. Welch's method for smooth spectral decomposition.mp4 62.1 MB
- 03. Simulating time series signals and noise/03. Generating white and pink noise.mp4 61.9 MB
- 07. Time-frequency analysis/14. MATLAB A full time-frequency power plot!.mp4 61.8 MB
- 06. More on static spectral analyses/06. FFT and Welch's method on EEG resting state data.mp4 61.6 MB
- 09. Synchronization analyses/07. Surface Laplacian for connectivity analyses.mp4 61.0 MB
- 03. Simulating time series signals and noise/10. Project 1-1 Solutions.mp4 60.8 MB
- 13. Multivariate components analysis/07. Frequency-based GED for source-separation in simulated data.mp4 60.8 MB
- 07. Time-frequency analysis/16. Inter-trial phase clustering (ITPCITC).mp4 60.8 MB
- 08. More on time-frequency analysis/10. Inter-trial phase clustering before vs. after removing ERP.mp4 59.2 MB
- 05. Static spectral analysis/24. The perfection of the Fourier transform.mp4 59.1 MB
- 07. Time-frequency analysis/29. MATLAB STFFT.mp4 58.1 MB
- 08. More on time-frequency analysis/02. Create a family of complex Morlet wavelets.mp4 58.1 MB
- 10. More on synchronization analyses/13. Project 5-2 Solutions.mp4 57.8 MB
- 02. The basics of neural signal processing/03. Overview of possible preprocessing steps.mp4 56.9 MB
- 05. Static spectral analysis/05. MATLAB Sine waves and their parameters.mp4 55.7 MB
- 04. Time-domain analyses/11. Project 2-2 Solutions.mp4 55.2 MB
- 12. More on permutation testing statistics/09. Project 7-2 Simulate time-frequency data for statistical testing.mp4 54.8 MB
- 07. Time-frequency analysis/09. MATLAB Complex Morlet wavelets.mp4 54.7 MB
- 08. More on time-frequency analysis/04. Compare wavelet-derived spectrum and FFT.mp4 54.6 MB
- 08. More on time-frequency analysis/05. Wavelet convolution of close frequencies.mp4 53.3 MB
- 07. Time-frequency analysis/32. Within-subject, cross-trial regression.mp4 52.6 MB
- 02. The basics of neural signal processing/12. MATLAB V1 dataset.mp4 51.3 MB
- 11. Permutation-based statistics/10. Extreme pixel-based multiple comparisons correction.mp4 51.2 MB
- 12. More on permutation testing statistics/03. Meta-permutation test for increased stability.mp4 48.9 MB
- 08. More on time-frequency analysis/11. Downsampling time-frequency power.mp4 48.4 MB
- 13. Multivariate components analysis/08. Project 6-1 GED for interacting alpha sources.mp4 48.1 MB
- 04. Time-domain analyses/05. Butterfly plot and topo-variance time series.mp4 47.7 MB
- 09. Synchronization analyses/15. MATLAB Connectivity over time vs. over trials.mp4 47.6 MB
- 10. More on synchronization analyses/11. Project 5-1 Solutions.mp4 47.6 MB
- 05. Static spectral analysis/assets/01. uANTS-static-MATLABfiles.zip 46.8 MB
- 04. Time-domain analyses/08. Project 2-1 Quantify the ERP as peak-mean or peak-to-peak.mp4 46.5 MB
- 05. Static spectral analysis/30. Signal nonstationarities.mp4 45.3 MB
- 11. Permutation-based statistics/02. Introduction The basis of statistics, necessity, and levels.mp4 44.9 MB
- 05. Static spectral analysis/15. Fourier coefficients.mp4 44.9 MB
- 08. More on time-frequency analysis/12. Visualize time-frequency power from all channels.mp4 44.4 MB
- 08. More on time-frequency analysis/06. Time-frequency power of multitrial EEG activity.mp4 44.1 MB
- 07. Time-frequency analysis/24. Scale-free dynamics via detrended fluctuation analysis (DFA).mp4 44.1 MB
- 09. Synchronization analyses/17. Two methods of power-based connectivity.mp4 42.1 MB
- 11. Permutation-based statistics/08. Cluster-based multiple comparisons correction.mp4 41.9 MB
- 08. More on time-frequency analysis/19. Project 4-2 Solutions.mp4 41.9 MB
- 09. Synchronization analyses/10. Phase-lag-based connectivity.mp4 41.8 MB
- 03. Simulating time series signals and noise/02. Why simulate data.mp4 41.7 MB
- 05. Static spectral analysis/19. Positive and negative frequencies.mp4 40.0 MB
- 07. Time-frequency analysis/15. Averaging phase values.mp4 39.7 MB
- 05. Static spectral analysis/35. MATLAB Welch's method on resting-state EEG data.mp4 39.6 MB
- 07. Time-frequency analysis/31. The multi-taper method.mp4 39.1 MB
- 04. Time-domain analyses/04. Compute the average reference.mp4 37.4 MB
- 06. More on static spectral analyses/04. Spectral separation on simulated dipole data.mp4 37.3 MB
- 10. More on synchronization analyses/10. Project 5-1 ISPC and PLI, with and without Laplacian.mp4 37.3 MB
- 11. Permutation-based statistics/13. Subject- vs. group-level analyses.mp4 36.3 MB
- 11. Permutation-based statistics/14. Error bars and guessing significance.mp4 36.1 MB
- 02. The basics of neural signal processing/15. Problem set introduction and explanation.mp4 35.8 MB
- 09. Synchronization analyses/05. Inter-site phase clustering (ISPC).mp4 35.7 MB
- 05. Static spectral analysis/06. Complex numbers.mp4 35.7 MB
- 06. More on static spectral analyses/assets/01. NTSA-spectral.zip 35.0 MB
- 05. Static spectral analysis/18. Frequencies in the Fourier transform.mp4 34.7 MB
- 10. More on synchronization analyses/assets/01. NTSA-connect.zip 34.7 MB
- 04. Time-domain analyses/assets/01. NTSA-timeDomain.zip 34.7 MB
- 07. Time-frequency analysis/assets/01. uANTS-timefreq-MATLABfiles.zip 33.7 MB
- 05. Static spectral analysis/36. MATLAB Welch's method on V1 dataset.mp4 32.1 MB
- 13. Multivariate components analysis/assets/01. NTSA-multivar.zip 32.0 MB
- 09. Synchronization analyses/assets/01. uANTS-synch-MATLABfiles.zip 31.8 MB
- 02. The basics of neural signal processing/assets/01. uANTS-intro-MATLABfiles.zip 31.8 MB
- 05. Static spectral analysis/04. Sine waves.mp4 31.0 MB
- 11. Permutation-based statistics/07. Multiple comparisons and limitations of Bonferroni method.mp4 30.7 MB
- 05. Static spectral analysis/03. Time and frequency domains.mp4 30.7 MB
- 03. Simulating time series signals and noise/12. Project 1-2 dipole-level EEG data.mp4 30.5 MB
- 06. More on static spectral analyses/03. Program the inverse Fourier transform from scratch!.mp4 30.0 MB
- 05. Static spectral analysis/27. Frequency resolution and zero-padding.mp4 29.9 MB
- 05. Static spectral analysis/07. Euler's formula.mp4 29.7 MB
- 05. Static spectral analysis/20. Accurate scaling of Fourier coefficients.mp4 29.6 MB
- 12. More on permutation testing statistics/07. Project 7-1 Effects of noise smoothness on cluster correction.mp4 29.2 MB
- 01. Introduction/02. Neural data science as source sepatation.mp4 28.3 MB
- 06. More on static spectral analyses/10. Project 3-1 Topography of spectrally separated activity.mp4 28.2 MB
- 05. Static spectral analysis/09. The dot product.mp4 28.1 MB
- 03. Simulating time series signals and noise/05. Generating chirps (frequency-modulated signals).mp4 27.5 MB
- 03. Simulating time series signals and noise/07. Transient oscillation.mp4 25.9 MB
- 09. Synchronization analyses/14. Connectivity over time vs. over trials.mp4 25.7 MB
- 02. The basics of neural signal processing/13. Where to get more EEG data.mp4 25.0 MB
- 09. Synchronization analyses/22. When to use which connectivity method.mp4 25.0 MB
- 05. Static spectral analysis/29. Estimation errors and Fourier coefficients.mp4 24.1 MB
- 06. More on static spectral analyses/08. Extracting average power from a frequency band.mp4 23.9 MB
- 07. Time-frequency analysis/28. The short-time Fourier transform (STFFT).mp4 23.3 MB
- 01. Introduction/04. A quick note about how this went from 2 to 1 course.mp4 23.0 MB
- 05. Static spectral analysis/25. The inverse Fourier transform.mp4 22.8 MB
- 08. More on time-frequency analysis/15. Project 4-1 Phase-locked, non-phase-locked, and total power.mp4 22.6 MB
- 06. More on static spectral analyses/02. Program the Fourier transform from scratch!.mp4 22.2 MB
- 07. Time-frequency analysis/11. Convolution coding tips.mp4 21.3 MB
- 06. More on static spectral analyses/12. Project 3-2 Topography of alpha-theta ratio.mp4 20.8 MB
- 03. Simulating time series signals and noise/06. Non-stationary narrowband activity via filtered noise.mp4 20.7 MB
- 11. Permutation-based statistics/assets/01. uANTS-stats-MATLABfiles.zip 19.6 MB
- 02. The basics of neural signal processing/18. Planck, neuron, universe.mp4 19.6 MB
- 05. Static spectral analysis/02. Course tangent self-accountability in online learning.mp4 19.2 MB
- 11. Permutation-based statistics/12. Illustrating statistical significance in plots.mp4 19.2 MB
- 05. Static spectral analysis/13. The complex dot product.mp4 19.1 MB
- 02. The basics of neural signal processing/10. The empirical datasets used in this course.mp4 18.7 MB
- 07. Time-frequency analysis/20. The stationarity assumption of wavelet convolution.mp4 17.8 MB
- 03. Simulating time series signals and noise/assets/01. NTSA-simEEG.zip 17.3 MB
- 08. More on time-frequency analysis/assets/01. NTSA-timefreq.zip 16.2 MB
- 05. Static spectral analysis/11. Complex sine waves.mp4 15.6 MB
- 10. More on synchronization analyses/12. Project 5-2 Seeded phase vs. power coupling.mp4 15.4 MB
- 01. Introduction/01. Broad introduction to neural time series analysis.mp4 15.1 MB
- 08. More on time-frequency analysis/18. Project 4-2 Time-frequency power plot via filter-Hilbert.mp4 14.9 MB
- 04. Time-domain analyses/10. Project 2-2 ERP peak latency topoplot.mp4 12.2 MB
- 13. Multivariate components analysis/02. Background knowledge for this section.mp4 7.9 MB
- 12. More on permutation testing statistics/assets/01. NTSA-stats.zip 2.2 MB
- 07. Time-frequency analysis/assets/18. Cohen-betterWavelets.pdf 1.2 MB
- 05. Static spectral analysis/38. Problem set (22) Spectral analyses of real and simulated data.vtt 42.7 KB
- 02. The basics of neural signal processing/17. Problem set (22) Simulating and visualizing data.vtt 41.9 KB
- 02. The basics of neural signal processing/16. Problem set (12) Simulating and visualizing data.vtt 41.2 KB
- 07. Time-frequency analysis/42. Problem set (33) Time-frequency analysis.vtt 41.1 KB
- 05. Static spectral analysis/37. Problem set (12) Spectral analyses of real and simulated data.vtt 38.7 KB
- 09. Synchronization analyses/18. Granger causality (prediction).vtt 38.2 KB
- 09. Synchronization analyses/24. Problem set (22) Pairwise synchronization.vtt 36.4 KB
- 07. Time-frequency analysis/40. Problem set (13) Time-frequency analysis.vtt 36.0 KB
- 11. Permutation-based statistics/04. Permutation-based statistics.vtt 32.0 KB
- 07. Time-frequency analysis/33. MATLAB Cross-trial regression.vtt 29.8 KB
- 11. Permutation-based statistics/06. MATLAB Permutation testing in real data.vtt 29.0 KB
- 03. Simulating time series signals and noise/04. The three important equations (sine, Gaussian, Euler's).vtt 28.8 KB
- 07. Time-frequency analysis/04. Convolution in the time domain.vtt 28.4 KB
- 07. Time-frequency analysis/26. The filter-Hilbert time-frequency method.vtt 27.6 KB
- 09. Synchronization analyses/23. Problem set (12) Pairwise synchronization.vtt 27.2 KB
- 09. Synchronization analyses/21. MATLAB Connectivity hubs.vtt 27.0 KB
- 09. Synchronization analyses/19. MATLAB Granger causality.vtt 26.8 KB
- 07. Time-frequency analysis/25. MATLAB detrended fluctuation analysis.vtt 26.7 KB
- 02. The basics of neural signal processing/14. Simulating data to understand analysis methods.vtt 25.8 KB
- 07. Time-frequency analysis/41. Problem set (23) Time-frequency analysis.vtt 25.2 KB
- 12. More on permutation testing statistics/02. Permutation testing for one variable and two groups.vtt 24.6 KB
- 11. Permutation-based statistics/05. MATLAB Permutation testing and shuffling.vtt 24.5 KB
- 02. The basics of neural signal processing/02. Origin, significance, and interpretation of EEG.vtt 24.0 KB
- 02. The basics of neural signal processing/04. ICA for data cleaning.vtt 23.8 KB
- 07. Time-frequency analysis/06. Convolution as spectral multiplication.vtt 23.7 KB
- 07. Time-frequency analysis/38. MATLAB Total, non-phase-locked, and phase-locked power.vtt 23.6 KB
- 02. The basics of neural signal processing/11. MATLAB EEG dataset.vtt 23.3 KB
- 12. More on permutation testing statistics/04. Permutation testing in simulated time series.vtt 23.3 KB
- 09. Synchronization analyses/13. MATLAB Phase synchronization in voltage and Laplacian data.vtt 23.1 KB
- 04. Time-domain analyses/02. Event-related potential (ERP).vtt 22.7 KB
- 11. Permutation-based statistics/15. Three approaches for group-level statistics.vtt 22.5 KB
- 07. Time-frequency analysis/19. MATLAB Time-frequency trade-off.vtt 22.4 KB
- 05. Static spectral analysis/23. MATLAB Quantify alpha power over the scalp.vtt 22.4 KB
- 07. Time-frequency analysis/12. MATLAB Complex Morlet wavelet convolution.vtt 22.4 KB
- 07. Time-frequency analysis/18. Parameters of Morlet wavelet (time-frequency trade-off).vtt 22.2 KB
- 07. Time-frequency analysis/02. Morlet wavelets in time and in frequency.vtt 22.0 KB
- 07. Time-frequency analysis/22. Baseline normalization of time-frequency power.vtt 21.9 KB
- 06. More on static spectral analyses/07. To taper or not to taper.vtt 21.4 KB
- 10. More on synchronization analyses/05. Power time series correlations.vtt 21.3 KB
- 09. Synchronization analyses/12. When to use phase-lag vs. phase-clustering measures.vtt 21.3 KB
- 05. Static spectral analysis/21. MATLAB Positivenegative spectrum; amplitude scaling.vtt 21.2 KB
- 09. Synchronization analyses/06. MATLAB ISPC.vtt 21.1 KB
- 09. Synchronization analyses/16. MATLAB Simulating data to test connectivity methods.vtt 21.1 KB
- 07. Time-frequency analysis/27. MATLAB Filter-Hilbert.vtt 20.9 KB
- 07. Time-frequency analysis/32. Within-subject, cross-trial regression.vtt 20.6 KB
- 05. Static spectral analysis/32. MATLAB Examples of smooth nonstationarities on power spectra.vtt 20.4 KB
- 04. Time-domain analyses/03. Lowpass filter an ERP.vtt 20.2 KB
- 07. Time-frequency analysis/35. MATLAB Downsampling time-frequency results.vtt 20.2 KB
- 05. Static spectral analysis/28. MATLAB Frequency resolution and zero-padding.vtt 20.1 KB
- 02. The basics of neural signal processing/08. Motivations for rhythm-based analyses.vtt 19.7 KB
- 13. Multivariate components analysis/04. Create covariance matrices based on time and on frequency.vtt 19.7 KB
- 02. The basics of neural signal processing/09. Interpreting time-frequency plots.vtt 19.6 KB
- 05. Static spectral analysis/17. MATLAB Fourier coefficients as complex numbers.vtt 19.5 KB
- 10. More on synchronization analyses/04. Phase synchronization matrices in multitrial data.vtt 19.4 KB
- 12. More on permutation testing statistics/08. Project 7-1 Solutions.vtt 19.3 KB
- 02. The basics of neural signal processing/05. Signal artifacts (not) to worry about.vtt 19.2 KB
- 04. Time-domain analyses/09. Project 2-1 Solutions.vtt 19.2 KB
- 01. Introduction/02. Neural data science as source sepatation.vtt 19.1 KB
- 02. The basics of neural signal processing/07. Overview of time-domain analyses (ERPs).vtt 19.1 KB
- 09. Synchronization analyses/02. Four things to keep in mind about connectivity.vtt 19.1 KB
- 10. More on synchronization analyses/09. Phase-lag index.vtt 18.8 KB
- 07. Time-frequency analysis/16. Inter-trial phase clustering (ITPCITC).vtt 18.6 KB
- 11. Permutation-based statistics/16. MATLAB Extracting features for group analyses.vtt 18.0 KB
- 11. Permutation-based statistics/02. Introduction The basis of statistics, necessity, and levels.vtt 18.0 KB
- 12. More on permutation testing statistics/10. Project 7-2 Solutions.vtt 17.7 KB
- 05. Static spectral analysis/16. MATLAB The discrete-time Fourier transform.vtt 17.6 KB
- 09. Synchronization analyses/11. MATLAB phase-lag index.vtt 17.6 KB
- 07. Time-frequency analysis/21. The 1f structure of spectral brain dynamics.vtt 17.6 KB
- 05. Static spectral analysis/22. MATLAB Spectral analysis of resting-state EEG.vtt 17.4 KB
- 12. More on permutation testing statistics/05. Permutation testing for cluster correction in simulated data.vtt 17.3 KB
- 09. Synchronization analyses/09. MATLAB Laplacian in real EEG data.vtt 17.2 KB
- 11. Permutation-based statistics/11. MATLAB Extreme pixel correction.vtt 17.2 KB
- 11. Permutation-based statistics/17. Circular inference (double-dipping).vtt 17.1 KB
- 11. Permutation-based statistics/03. Parametric vs. nonparametric statistics.vtt 17.1 KB
- 07. Time-frequency analysis/03. MATLAB Getting to know Morlet wavelets.vtt 17.1 KB
- 10. More on synchronization analyses/08. All-to-all synchronization and hubness (graph theory).vtt 17.0 KB
- 05. Static spectral analysis/06. Complex numbers.vtt 17.0 KB
- 07. Time-frequency analysis/05. MATLAB Time-domain convolution.vtt 16.9 KB
- 05. Static spectral analysis/19. Positive and negative frequencies.vtt 16.9 KB
- 12. More on permutation testing statistics/06. Permutation testing and cluster correction in real EEG data.vtt 16.7 KB
- 07. Time-frequency analysis/36. MATLAB Linear vs. logarithmic frequency scaling.vtt 16.6 KB
- 08. More on time-frequency analysis/16. Project 4-1 Solutions.vtt 16.6 KB
- 09. Synchronization analyses/04. Intuition about phase synchronization.vtt 16.6 KB
- 08. More on time-frequency analysis/13. Instantaneous frequency in simulated data.vtt 16.5 KB
- 05. Static spectral analysis/14. MATLAB The complex dot product.vtt 16.3 KB
- 07. Time-frequency analysis/15. Averaging phase values.vtt 16.3 KB
- 07. Time-frequency analysis/30. Comparing wavelet, filter-Hilbert, and STFFT.vtt 15.9 KB
- 07. Time-frequency analysis/17. MATLAB ITPC.vtt 15.8 KB
- 03. Simulating time series signals and noise/03. Generating white and pink noise.vtt 15.7 KB
- 09. Synchronization analyses/20. Hubness from graph theory.vtt 15.6 KB
- 02. The basics of neural signal processing/03. Overview of possible preprocessing steps.vtt 15.6 KB
- 07. Time-frequency analysis/37. Separating phase-locked and non-phase-locked activity.vtt 15.6 KB
- 04. Time-domain analyses/06. Topography time series.vtt 15.5 KB
- 03. Simulating time series signals and noise/08. The eeglab EEG structure.vtt 15.4 KB
- 07. Time-frequency analysis/08. MATLAB Convolve real data with a Gaussian.vtt 15.4 KB
- 07. Time-frequency analysis/23. MATLAB Baseline normalization of TF plots.vtt 15.3 KB
- 10. More on synchronization analyses/02. Synchronization in simulated noisy oscillators.vtt 15.3 KB
- 08. More on time-frequency analysis/03. Create a time-frequency plot of a nonlinear chirp.vtt 15.3 KB
- 07. Time-frequency analysis/10. Complex Morlet wavelet convolution.vtt 15.3 KB
- 02. The basics of neural signal processing/06. Topographical mapping.vtt 15.2 KB
- 05. Static spectral analysis/30. Signal nonstationarities.vtt 15.1 KB
- 03. Simulating time series signals and noise/10. Project 1-1 Solutions.vtt 15.0 KB
- 06. More on static spectral analyses/05. FFT of stationary and non-stationary simulated data.vtt 15.0 KB
- 06. More on static spectral analyses/06. FFT and Welch's method on EEG resting state data.vtt 14.7 KB
- 05. Static spectral analysis/18. Frequencies in the Fourier transform.vtt 14.7 KB
- 10. More on synchronization analyses/03. Spurious connectivity in narrowband noise.vtt 14.6 KB
- 08. More on time-frequency analysis/17. Narrowband filtering and the Hilbert transform.vtt 14.6 KB
- 01. Introduction/03. What to expect from this course.vtt 14.5 KB
- 07. Time-frequency analysis/24. Scale-free dynamics via detrended fluctuation analysis (DFA).vtt 14.4 KB
- 05. Static spectral analysis/15. Fourier coefficients.vtt 14.4 KB
- 11. Permutation-based statistics/09. MATLAB Cluster correction.vtt 14.4 KB
- 09. Synchronization analyses/10. Phase-lag-based connectivity.vtt 14.3 KB
- 06. More on static spectral analyses/09. Comparing average spectra vs. spectra of an average.vtt 14.3 KB
- 05. Static spectral analysis/08. MATLAB Complex numbers and Euler's formula.vtt 14.2 KB
- 13. Multivariate components analysis/08. Project 6-1 GED for interacting alpha sources.vtt 14.1 KB
- 05. Static spectral analysis/34. MATLAB Welch's method on phase-slip data.vtt 14.1 KB
- 13. Multivariate components analysis/06. Time-based GED for source-separation in simulated data.vtt 14.1 KB
- 06. More on static spectral analyses/11. Project 3-1 Solutions.vtt 14.0 KB
- 13. Multivariate components analysis/05. Principal components analysis (PCA) of simulated data.vtt 13.9 KB
- 05. Static spectral analysis/07. Euler's formula.vtt 13.9 KB
- 08. More on time-frequency analysis/09. Exploring wavelet parameters in simulated data.vtt 13.7 KB
- 10. More on synchronization analyses/06. Power correlations over trials.vtt 13.7 KB
- 03. Simulating time series signals and noise/13. Project 1-2 Solutions.vtt 13.6 KB
- 08. More on time-frequency analysis/05. Wavelet convolution of close frequencies.vtt 13.6 KB
- 09. Synchronization analyses/07. Surface Laplacian for connectivity analyses.vtt 13.4 KB
- 11. Permutation-based statistics/08. Cluster-based multiple comparisons correction.vtt 13.3 KB
- 05. Static spectral analysis/10. MATLAB Dot product and sine waves.vtt 13.2 KB
- 08. More on time-frequency analysis/08. Exploring wavelet parameters in real data.vtt 13.2 KB
- 06. More on static spectral analyses/13. Project 3-2 Solutions.vtt 13.2 KB
- 07. Time-frequency analysis/31. The multi-taper method.vtt 13.1 KB
- 11. Permutation-based statistics/13. Subject- vs. group-level analyses.vtt 13.1 KB
- 08. More on time-frequency analysis/07. Baseline normalize power with dB and % change.vtt 12.9 KB
- 05. Static spectral analysis/33. Welch's method for smooth spectral decomposition.vtt 12.9 KB
- 13. Multivariate components analysis/03. Simulate multicomponent EEG data.vtt 12.7 KB
- 10. More on synchronization analyses/07. Scalp Laplacian for electrode-level connectivity.vtt 12.7 KB
- 09. Synchronization analyses/03. Volume conduction and what to do about it.vtt 12.6 KB
- 09. Synchronization analyses/17. Two methods of power-based connectivity.vtt 12.6 KB
- 08. More on time-frequency analysis/04. Compare wavelet-derived spectrum and FFT.vtt 12.2 KB
- 05. Static spectral analysis/31. MATLAB Examples of sharp nonstationarities on power spectra.vtt 12.2 KB
- 09. Synchronization analyses/08. MATLAB Laplacian in simulated data.vtt 12.2 KB
- 03. Simulating time series signals and noise/09. Project 1-1 Channel-level EEG data.vtt 12.2 KB
- 13. Multivariate components analysis/07. Frequency-based GED for source-separation in simulated data.vtt 12.2 KB
- 04. Time-domain analyses/07. Simulate ERPs from two dipoles.vtt 12.0 KB
- 11. Permutation-based statistics/10. Extreme pixel-based multiple comparisons correction.vtt 12.0 KB
- 07. Time-frequency analysis/14. MATLAB A full time-frequency power plot!.vtt 11.9 KB
- 05. Static spectral analysis/26. MATLAB Reconstruct a signal via inverse FFT.vtt 11.9 KB
- 09. Synchronization analyses/05. Inter-site phase clustering (ISPC).vtt 11.8 KB
- 05. Static spectral analysis/27. Frequency resolution and zero-padding.vtt 11.8 KB
- 05. Static spectral analysis/03. Time and frequency domains.vtt 11.8 KB
- 08. More on time-frequency analysis/02. Create a family of complex Morlet wavelets.vtt 11.7 KB
- 07. Time-frequency analysis/39. Edge effects, buffer zones, and data epoch length.vtt 11.7 KB
- 05. Static spectral analysis/09. The dot product.vtt 11.4 KB
- 05. Static spectral analysis/24. The perfection of the Fourier transform.vtt 11.3 KB
- 05. Static spectral analysis/05. MATLAB Sine waves and their parameters.vtt 11.3 KB
- 13. Multivariate components analysis/09. Project 6-1 Solutions.vtt 11.3 KB
- 03. Simulating time series signals and noise/11. Projecting dipoles onto EEG electrodes.vtt 11.1 KB
- 08. More on time-frequency analysis/10. Inter-trial phase clustering before vs. after removing ERP.vtt 11.0 KB
- 08. More on time-frequency analysis/14. Instantaneous frequency in real data.vtt 10.9 KB
- 07. Time-frequency analysis/34. Temporal resolution vs. precision, pre- and post-convolution.vtt 10.8 KB
- 12. More on permutation testing statistics/09. Project 7-2 Simulate time-frequency data for statistical testing.vtt 10.7 KB
- 11. Permutation-based statistics/07. Multiple comparisons and limitations of Bonferroni method.vtt 10.6 KB
- 01. Introduction/01. Broad introduction to neural time series analysis.vtt 10.4 KB
- 07. Time-frequency analysis/09. MATLAB Complex Morlet wavelets.vtt 10.4 KB
- 12. More on permutation testing statistics/03. Meta-permutation test for increased stability.vtt 10.3 KB
- 07. Time-frequency analysis/07. MATLAB The five steps of convolution.vtt 10.1 KB
- 03. Simulating time series signals and noise/02. Why simulate data.vtt 10.1 KB
- 05. Static spectral analysis/20. Accurate scaling of Fourier coefficients.vtt 9.9 KB
- 02. The basics of neural signal processing/12. MATLAB V1 dataset.vtt 9.9 KB
- 07. Time-frequency analysis/13. MATLAB Convolution with all trials!.vtt 9.8 KB
- 04. Time-domain analyses/11. Project 2-2 Solutions.vtt 9.8 KB
- 05. Static spectral analysis/04. Sine waves.vtt 9.7 KB
- 07. Time-frequency analysis/11. Convolution coding tips.vtt 9.6 KB
- 10. More on synchronization analyses/13. Project 5-2 Solutions.vtt 9.6 KB
- 05. Static spectral analysis/29. Estimation errors and Fourier coefficients.vtt 9.4 KB
- 08. More on time-frequency analysis/11. Downsampling time-frequency power.vtt 9.3 KB
- 04. Time-domain analyses/08. Project 2-1 Quantify the ERP as peak-mean or peak-to-peak.vtt 9.2 KB
- 09. Synchronization analyses/15. MATLAB Connectivity over time vs. over trials.vtt 9.1 KB
- 08. More on time-frequency analysis/06. Time-frequency power of multitrial EEG activity.vtt 9.1 KB
- 03. Simulating time series signals and noise/07. Transient oscillation.vtt 9.0 KB
- 07. Time-frequency analysis/29. MATLAB STFFT.vtt 9.0 KB
- 07. Time-frequency analysis/28. The short-time Fourier transform (STFFT).vtt 8.8 KB
- 08. More on time-frequency analysis/19. Project 4-2 Solutions.vtt 8.8 KB
- 09. Synchronization analyses/14. Connectivity over time vs. over trials.vtt 8.7 KB
- 08. More on time-frequency analysis/12. Visualize time-frequency power from all channels.vtt 8.5 KB
- 05. Static spectral analysis/13. The complex dot product.vtt 8.5 KB
- 04. Time-domain analyses/04. Compute the average reference.vtt 8.4 KB
- 03. Simulating time series signals and noise/05. Generating chirps (frequency-modulated signals).vtt 8.3 KB
- 05. Static spectral analysis/25. The inverse Fourier transform.vtt 8.0 KB
- 05. Static spectral analysis/12. MATLAB Complex sine waves.vtt 7.9 KB
- 09. Synchronization analyses/22. When to use which connectivity method.vtt 7.8 KB
- 04. Time-domain analyses/05. Butterfly plot and topo-variance time series.vtt 7.7 KB
- 11. Permutation-based statistics/14. Error bars and guessing significance.vtt 7.6 KB
- 01. Introduction/assets/05. topoplotIndieOctave.m 7.5 KB
- 05. Static spectral analysis/35. MATLAB Welch's method on resting-state EEG data.vtt 7.4 KB
- 06. More on static spectral analyses/04. Spectral separation on simulated dipole data.vtt 7.2 KB
- 10. More on synchronization analyses/11. Project 5-1 Solutions.vtt 7.0 KB
- 03. Simulating time series signals and noise/06. Non-stationary narrowband activity via filtered noise.vtt 7.0 KB
- 11. Permutation-based statistics/12. Illustrating statistical significance in plots.vtt 6.7 KB
- 10. More on synchronization analyses/10. Project 5-1 ISPC and PLI, with and without Laplacian.vtt 6.6 KB
- 12. More on permutation testing statistics/07. Project 7-1 Effects of noise smoothness on cluster correction.vtt 6.5 KB
- 06. More on static spectral analyses/03. Program the inverse Fourier transform from scratch!.vtt 6.5 KB
- 05. Static spectral analysis/36. MATLAB Welch's method on V1 dataset.vtt 6.5 KB
- 07. Time-frequency analysis/20. The stationarity assumption of wavelet convolution.vtt 6.2 KB
- 03. Simulating time series signals and noise/12. Project 1-2 dipole-level EEG data.vtt 6.2 KB
- 06. More on static spectral analyses/08. Extracting average power from a frequency band.vtt 6.0 KB
- 08. More on time-frequency analysis/15. Project 4-1 Phase-locked, non-phase-locked, and total power.vtt 5.5 KB
- 05. Static spectral analysis/11. Complex sine waves.vtt 5.5 KB
- 06. More on static spectral analyses/10. Project 3-1 Topography of spectrally separated activity.vtt 5.3 KB
- 02. The basics of neural signal processing/10. The empirical datasets used in this course.vtt 5.1 KB
- 02. The basics of neural signal processing/15. Problem set introduction and explanation.vtt 5.1 KB
- 06. More on static spectral analyses/02. Program the Fourier transform from scratch!.vtt 5.0 KB
- 14. Bonus section/01. Bonus lecture.html 4.8 KB
- 02. The basics of neural signal processing/13. Where to get more EEG data.vtt 4.8 KB
- 10. More on synchronization analyses/12. Project 5-2 Seeded phase vs. power coupling.vtt 4.5 KB
- 06. More on static spectral analyses/12. Project 3-2 Topography of alpha-theta ratio.vtt 4.5 KB
- 02. The basics of neural signal processing/18. Planck, neuron, universe.vtt 4.3 KB
- 05. Static spectral analysis/02. Course tangent self-accountability in online learning.vtt 3.6 KB
- 08. More on time-frequency analysis/18. Project 4-2 Time-frequency power plot via filter-Hilbert.vtt 3.5 KB
- 04. Time-domain analyses/10. Project 2-2 ERP peak latency topoplot.vtt 3.2 KB
- 01. Introduction/04. A quick note about how this went from 2 to 1 course.vtt 3.0 KB
- 13. Multivariate components analysis/02. Background knowledge for this section.vtt 1.7 KB
- 01. Introduction/05. Download this file if you are using Octave (otherwise ignore).html 279 bytes
- 05. Static spectral analysis/01. Download MATLAB materials for this section.html 93 bytes
- 07. Time-frequency analysis/01. Download MATLAB materials for this section.html 88 bytes
- 02. The basics of neural signal processing/01. Download MATLAB materials for this course.html 64 bytes
- 09. Synchronization analyses/01. Download MATLAB materials for this section.html 59 bytes
- 08. More on time-frequency analysis/01. MATLAB files for this section.html 55 bytes
- 11. Permutation-based statistics/01. Download MATLAB materials for this section.html 55 bytes
- 03. Simulating time series signals and noise/01. MATLAB files for this section.html 52 bytes
- 04. Time-domain analyses/01. MATLAB files for this section.html 51 bytes
- 06. More on static spectral analyses/01. MATLAB files for this section.html 51 bytes
- 10. More on synchronization analyses/01. MATLAB files for this section.html 51 bytes
- 12. More on permutation testing statistics/01. MATLAB files for this section.html 51 bytes
- 13. Multivariate components analysis/01. MATLAB files for this section.html 51 bytes
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